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How can the implementation of artificial intelligence help in terms of the automated process of analysing the sentiment of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysing changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms?
How can the computerised analytics system architecture of Big Data Analytics platforms used to analyse the sentiment of Internet users' social media activity be improved using the new technologies of Industry 4.0, including but not limited to artificial intelligence, deep learning, machine learning, etc.?
In recent years, analytics conducted on large data sets downloaded from multiple websites using Big Data Analytics platforms has been developing rapidly. This type of analysis also includes sentiment analyses of changes in Internet users' opinions on specific topics, issues, opinions on product and service offers, brands of companies, public figures, political parties, etc., based on verification of thousands of posts and comments, answers given in discussions posted on social media sites. With the ever-increasing capabilities in terms of computing power of new generations of microprocessors and the speed of processing data stored on increasingly large digital storage media, the importance of increasing the scale of automation of the processes carried out during the aforementioned sentiment analyses is increasing. Certain new technologies of Industry 4.0, including machine learning, deep learning and artificial intelligence, are coming to the aid of this issue. I am conducting research on the process of sentiment analysis of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysis of changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms. I have included the results of these studies in my articles on this subject. I have also posted these articles after publication on my profile of this Research Gate portal. I would like to invite you to join me in scientific cooperation on this issue.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the implementation of artificial intelligence help in terms of the automated process of analysing the sentiment of the content of posts, posts, banners, etc. posted by Internet users on popular online social media, analysing changes in opinion on specific topics, changes in trends of general social awareness, etc. conducted using computerised Big Data Analytics platforms?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
Please answer with reasons,
I invite you all to discuss,
Thank you very much,
The following articles are related to the above issues in some respects:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANISATION
The importance of Big Data Analytics technology in business management
The role of Big Data and Data Science in the context of information security and cybersecurity
I invite you to collaborate with me on scientific projects.
Warm regards,
Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
I am pleased to observe the current relevance and dynamic development of the issues related to the use of artificial intelligence in the analysis of internet users' sentiment, which is confirmed by the interest of researchers and scientists on the Research Gate portal. I am also pleased with the diversity of perspectives and proposed research paths in response to the posed question.
Regarding the research question: "How can the implementation of artificial intelligence in big data analysis help in analyzing the sentiment of internet users in social media?" and the presented description of the research problem, from the perspective of my research on the application of artificial intelligence methods in the analysis of textual data and opinions in social media, I believe that this question is extremely pertinent and touches upon a key aspect of contemporary online analytics. With the rapidly growing amount of data generated in social media, traditional sentiment analysis methods are becoming insufficient due to their scalability and ability to capture subtle linguistic nuances and the context of statements. The implementation of advanced artificial intelligence algorithms, including machine learning and deep learning, offers revolutionary possibilities in terms of automating and increasing the precision of sentiment analysis. In my opinion, the key here is to leverage AI's ability to recognize complex linguistic patterns, irony, sarcasm, and cultural context, which allows for obtaining much more reliable and in-depth conclusions about the sentiment of internet users.
The question "How can the implementation of artificial intelligence in big data analysis help in analyzing the sentiment of internet users in social media?" remains current and significant. It is worth continuing the discussion in this area and undertaking or continuing research in this area to more fully explain various issues and obtain a complete answer to this question. The relevance of this question is multifaceted:
- Ever-increasing amount of data in social media: Huge amounts of text, opinions, and comments are generated daily, which constitute an invaluable source of information about social sentiment.
- Evolution of online language and communication: The language used in social media is dynamic, full of slang, abbreviations, and irony, which poses a challenge for traditional sentiment analysis methods.
- The need for fast and effective real-time analysis: For many business and social applications, it is crucial to monitor changes in sentiment in real-time, which requires advanced, automated tools.
- Development of AI technology: Continuous progress in the field of artificial intelligence and machine learning opens up new possibilities in the analysis of textual data.
New research areas in this problem may include:
- Developing more advanced deep learning models that take into account the situational and cultural context of utterances.
- Researching methods for dealing with multilingualism and the specifics of language on different social media platforms.
- Utilizing AI-powered data visualization techniques for a more intuitive presentation of changes in sentiment and opinion trends.
- Analyzing the impact of disinformation and bots on shaping sentiment in social media.
- Studying the ethical aspects of using AI for public opinion analysis and potential abuses.
Determinants shaping the key issues of this problem include, among others: technological advancements in AI and Big Data, the availability and quality of data from social media, the development of text analysis algorithms, computing power, legal regulations regarding privacy and personal data, and business and social demand for effective sentiment analysis.
I would like to sincerely thank all researchers and scientists for their valuable contribution to this discussion. I am open to scientific collaboration in this fascinating field and in the interdisciplinary linking of this issue with other areas of knowledge, such as linguistics, social psychology, marketing, and political science. In view of the current relevance and developmental nature of the discussed issues, I invite you to further continue the discussion, sharing your insights and ideas for future research.
I invite you to discuss this issue and to engage in scientific cooperation,
Best wishes,
Dariusz Prokopowicz
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I'm currently working on a research project that examines audience engagement and sentiment in response to conflict-related photojournalism shared on social media platforms.
One key challenge I’m facing is selecting the most appropriate timeframe for data collection. The photojournalist I'm studying has been posting frequently over an extended period, including during major escalations in the conflict.
If you’ve worked on similar projects or have insights into temporal sampling strategies for social media analysis, I’d greatly appreciate your input. What has worked best in your experience for capturing meaningful emotional and discursive responses?
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For conflict-related social media research, focus on key moments: just before, during, and right after major escalations. This captures the strongest emotional and engagement shifts without overwhelming your data.
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In your opinion, does the development of new online media, including online social media and the new technologies Industry 4.0 implemented into these media, including the use of artificial intelligence in these media, increase the issue of objectivity and transparency of information or rather generate more disinformation?
On the one hand, online social media, which has been developing for 2 decades now, is making a significant contribution to the development of remote online communication, social remote communication, open communication of sending content created on the fly, sending information to friends, promoting oneself and/or specific product or service offers, informal data transfer, expressing one's emotions in the information sent, including positive as well as negative emotions, and so on. In this way, online social media on a local, regional or global scale have also contributed to the objectification of information in the context of news reported in official, meanstream media. In this regard, online social media are fulfilling their role of social and objectification of media information both in countries with democratic power systems and in non-democratic, dictatorial power systems as long as they are not blocked and restricted by the power system.
On the other hand, there has long been a lot of fake news and disinformation in online social media, the transmission and forwarding by more Internet users of memes, posts, videos, banners, comments containing unverified, unconfirmed content, data and information. In addition, new ICT and Industry 4.0 information technologies, new versions of graphic and other applications are being used to generate disinformation. Also, cyber criminals and hackers breaking into social media user profiles, stealing sensitive data of social media users are also using new technologies. Recently, machine learning, deep learning and artificial intelligence technologies have also been used by cybercriminals and untrustworthy social media users to generate disinformation. As part of this, cybercriminals, hackers and unethical Internet users generating disinformation take advantage of security gaps in information systems, exploit diagnosed inadequacies in cyber security tools operating in the aforementioned social media sites. Thus, it is necessary to conduct relentless monitoring of information traffic on these portals, to identify cybercriminal, hacking, fake news and disinformation generating activities, and to improve cyber security systems, instruments, tools as efficiently and quickly as possible.
In view of the above, what prevails in recent times? Do new technologies rather help cyber criminals, hackers and foul Internet users generating disinformation, or do they rather help the development of social media portals and the improvement of cyber security systems?
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does the development of new online media, including online social media and the new technologies Industry 4.0 implemented into these media, including the use of artificial intelligence in these media, increase the issue of objectivity and transparency of information or rather generate more disinformation?
Does the development of online media increase the issue of objectivity and transparency of information or rather generate more disinformation?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
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Dear Researchers, Scientists, Friends,
The presented research question regarding the impact of the development of internet media, including social media and Industry 4.0 technologies, on the objectivity and transparency of information, as well as on the generation of disinformation, is extremely important and current. The text accurately identifies the dual nature of this phenomenon. On the one hand, social media contribute to the democratization of access to information and can serve as a counterweight to traditional media, enabling faster dissemination of diverse perspectives and, in certain contexts, increasing objectivity. On the other hand, they open a wide field for the spread of unverified content, disinformation, and advanced technologies, including artificial intelligence, are becoming tools in the hands of cybercriminals and those spreading false information. In the future, it will be crucial to investigate the effectiveness of cybersecurity systems and tools for detecting disinformation generated using AI, the analysis of psychological and social mechanisms of susceptibility to disinformation in the new media environment, as well as the development of ethical frameworks for the use of artificial intelligence in the context of online information flow. I thank all researchers and scientists for their past contributions to this important discussion. I am open to scientific collaboration on this issue and invite further exchange of ideas and continuation of the discussion.
Best regards,
Dariusz Prokopowicz
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Do you think artificial intelligence will be implemented in social media portals?
What are the effects of artificial intelligence implemented on social media portals?
Please, answer, comments.
I invite you to the discussion.
Best wishes
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Dear Researchers, Scientists, Friends,
The research question concerning the implementation of artificial intelligence on social media platforms and its effects is extremely relevant, considering the existing applications of AI in these platforms, such as content recommendation algorithms and moderation systems. However, it is worth expanding this discussion to include new research questions, analyzing the potential future applications of generative AI for creating personalized user experiences, virtual social assistants, or advanced tools for analyzing trends and public opinion. It is also crucial to examine the multifaceted effects of such implementation, including the impact on opinion polarization, the spread of disinformation, user privacy, platform addiction, and the ethical dilemmas associated with the autonomy of algorithms in shaping public discourse. Future research could focus on developing ethical and regulatory frameworks for the use of AI in social media, as well as studying the impact of interactions with intelligent systems on user psychology and behavior. I sincerely thank all researchers and scientists for their past contributions to this important discussion. I am open to scientific cooperation in this dynamically evolving area and invite you to continue this significant debate, which is crucial for understanding the future of communication and social interactions in the age of artificial intelligence.
Best regards,
Dariusz Prokopowicz
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Why is it that online social media, popular among children and adolescents, continues to use algorithms that promote not only positive but also negative content? Is it just a matter of increasing the reach of the dissemination of certain content, entries, posts, comments, tags, promotional banners, advertising videos, etc. in order to generate higher viewership, more views of certain posts, in order to increase the rates of financial payments for advertisements posted on social media sites, in order to increase the already huge profits of the owners of these sites? Should social media sites pay for recovery, treatment of mental disorders caused by the hejterity directed against them on online social media, maintenance of rehab clinics for treating children and adolescents from online social media addiction, etc.?
Algorithms that promote both positive and negative content on social media, especially popular among children and adolescents, are the result of complex mechanisms of the platforms and their business model. These algorithms are designed to maximize user engagement, which translates into increased time spent on the platform, more ad impressions and higher profits for portal owners. Unfortunately, one of the side effects of these strategies is the promotion of controversial or negative content, which often generates stronger emotions such as anger, fear or outrage. This type of content tends to spread quickly, as users are eager to comment, share and engage with it, which increases its reach.
And what is your opinion on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
I would like to invite you to join me in scientific cooperation,
Dariusz Prokopowicz
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Answer: The root-cause is the inherently anti-ethical result of pandemic intoxication by The Five Poisons: 1. Foolish delusion, 2. Insatiable greed, 3. Hostile ill-will, 4. Jealous envy, 5. Arrogant conceit. So, the ecocidal neoRoman empire (global idiocracy) decays ever faster
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The market of information and marketing services on the Internet is developing dynamically.
First of all, large technology companies, owners of information portals and social media prevailing on these Internet markets based their business concepts on the provision of information and advertising services through the websites of their online portals.
However, it is still possible to analyze the division of marketing instruments into traditional ones and implemented in new online media in correlation with specific types of advertising in particular types of media for products and services.
In view of the above, the current question is: What types of products or services are already advertised in your countries in new online media, including on social networking websites?
Please, answer, comments.
I invite you to the discussion.
Thank you very much.
Best wishes.
Dariusz Prokopowicz
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Dariusz Prokopowicz In my country, Iran, businesses active in the tourism and hotel industry are very active and successful on the web and social networks.
Along with this industry, the insurance industry is one of the most frequent advertisements on the internet and official television of the country. In fact, in both of the above cases, there are platforms that compare the possibility of online shopping and comparison between tourism and insurance services, and I mean exactly the many advertisements of those platforms.
And of course, Iran's largest online store called DigiKala.com has also recently been active on television in addition to the Internet and social networks.
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I am an undergraduate student with a strong interest in collaborating on research projects across various fields such as psychology, sociology, social work, social media research, and social pathology.
I am particularly interested in contributing to projects that involve:
  • Psychological studies and mental health research
  • Sociological analyses and societal trends
  • Social work practices and interventions
  • Social media impacts and digital behavior
  • Research on social pathology and related phenomena
Despite being at the undergraduate level, I can contribute to literature review, editing, and manuscript writing.
If you have ongoing or upcoming research projects, I would be thrilled to discuss potential opportunities. I am willing to learn and contribute at various stages of the research process, from conceptualization to publication.
Best Regards,
Michal.
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Hi Michal,
I am inviting you and all other academics who are interested in expanding their academic networks and connecting with other academics from all over the world to join the Researcher Collab app. You can download the app for free from the App Store or Google Play. It has just been launched, so I would be glad if you became a part of our community and supported us. I wish you all the success in your academic life.
Best Regards,
Dr. Morcote Santos
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Do companies running social media portals consciously shape the general social awareness of citizens, Internet users through the specific information policies applied?
In recent years, there have been an increasing number of examples of situations of deliberate practices in which companies operating social media portals consciously shape the general social awareness of citizens, Internet users through specific information policies applied. The Senate Committees of Inquiry at the U.S. Capitol, which have been taking place for several years, address, among other things, the issue of verifying the use of, for example, algorithms on Facebook platforms that promote certain content, including not only socially positive content, but also socially negative content. The aforementioned algorithms are then changed so that the scale of social negativity is reduced. However, recently there have been an increasing number of similar socially negative cases of algorithms promoting specific political content, e.g. promoting content typical of right-wing political options and limiting the spread of certain social media sites typical of left-wing political content. Thus, these are situations of intentional discrimination against a part of the community of citizens holding certain political views, which the owners of certain companies operating social media portals have deemed to be contrary to the information policy applied in their social media and/or the specific ideology promoted in these media. This type of activity does not correlate with the issue of freedom of speech, unrestricted development of the information society, democracy.
Recently, companies running social media sites have been improving the aforementioned media through the implementation of new Industry 4.0/5.0 technologies, including Big Data Analytics and generative artificial intelligence. The aforementioned technologies can also be used to technically improve the algorithms that control and promote selected content typed and passed on by Internet users, users of the aforementioned online media, which is an important part of shaping information policy in these media.
I have described the issues of the role of information, information security, including business information transferred through social media, and the application of Industry 4.0/5.0 technologies to improve data and information transfer and processing systems in social media in the following articles:
The postpandemic reality and the security of information technologies ICT, Big Data, Industry 4.0, social media portals and the Internet
The Importance and Organization of Business Information Offered to Business Entities in Poland via the Global Internet Network
THE QUESTION OF THE SECURITY OF FACILITATING, COLLECTING AND PROCESSING INFORMATION IN DATA BASES OF SOCIAL NETWORKING
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Do the companies running social media portals consciously shape the general social consciousness of citizens, Internet users through the specific information policies applied?
Do companies running social media portals shape the general social consciousness of citizens through the specific information policies applied?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Yes, social media companies significantly shape social awareness through their information policies, dictating what content users see. Their algorithms and content moderation decisions influence public discourse and perceptions of various issues, highlighting their substantial impact on society's collective understanding.
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Taking into account the available technological solutions and applications offered by ICT service providers, as well as the growing scale of psychological problems of children using smartphones and online social media, the following question arises that is relevant today: How to effectively organize parental control of what a child does in the aforementioned social media?
Children and adolescents represent the youngest generations using online social media. The youth currently attending schools and studying in universities are mainly the so-called Generation Z, who grew up with smartphones equipped with Internet access, including online social media. Today, the children and young people of Generation Z are thus at the greatest risk of being negatively influenced by online social media, including various types of misinformation, fake news, misleading unreliable offers of advertised products and services, influencers and youtubers promoting themselves, etc., which are increasingly appearing in them. In addition, there are many untrustworthy offers of products and services in social media, offers presented by influencers and youtubers, offers presented as part of advertising campaigns conducted in these media, offers promoted through spots, animations and advertising videos, in which generative artificial intelligence technology is increasingly used. It is increasingly common for advertising companies to create AI-generated influencer avatars based on intelligent chatbots for their online advertising campaigns. AI-generated fictional influencer personas look, speak and behave like real people in videos posted on social media. Internet users watching these digital influencers often don't realize that they are watching not real people but digitally generated non-sisterly real characters. In addition, in recent years there has been a growing scale of hate speech most often generated by peers from class, school. The developing hejt was the reason for the increasing scale of child and adolescent suicides in some countries in recent years. In addition, many people, especially young girls, have psychological problems due to a sense of low self-worth and self-esteem which is related to spending a lot of time on online social media and watching influencers promoting certain sublime standards, what is in a certain subculture of youth recognized and promoted as informal canons of beauty, attitudes, possession of certain material goods, etc. In addition, such psychological problems were exacerbated during the Covid-19 pandemic, which was associated with locdowns imposed in some countries on selected sectors of the economy, bans on being in certain types of public places, periodically introduced national quarantines and education conducted remotely in the form of e-learning. In some countries, the scale of such bans and restrictions, which were intended to slow down the transmission of the SARS-CoV-2 (Covid-19) coronavirus, was exceptionally large. This was the case, for example, in the country where I operate. Unfortunately, the mortality rate of citizens during the Covid-19 pandemic in Poland, despite the large-scale introduction of the aforementioned anti-pandemic bans and restrictions, was exceptionally high. Besides, the mentioned anti-pandemic bans and restrictions were introduced without adequate public consultation, on the basis of special legal regulations in the form of laws and ordinances, with the bases of prior research and analysis of the potential negative effects of such controversial measures. At present, in 2024, it is known that in the country in which I operate the negative effects of the aforementioned introduced on a record large scale so-called anti-pandemic measures, including bans, lockdown-type restrictions, periods of national quarantine were much more in comparison with the expected but not realized positive effects. In view of the above, taking into account the available technological solutions and applications offered by ICT service providers, as well as the growing scale of psychological problems of children using smartphones and online social media, it is necessary to improve the computerized systems and applications running on smartphones that enable effectively conducted parental control of what a child does on the aforementioned social media. On the other hand, citizens should influence politicians, and politicians should influence the technology companies that run online social media, so that these companies also take much greater care of the safety of children and young people using these media. The aforementioned technology companies should not treat children and young people merely as potential customers for product and service offers presented during advertising campaigns conducted on social media. The technology companies running these media should not create algorithms that promote posts, posts, comments, banners, animations, videos, etc. that contain negative and socially harmful content. That this is how this kind of media works was proven during the Senate committee hearings of former managers who previously worked at Meta, for example, and developed certain solutions within Facebook and Instagram. TokTok has also grown rapidly in recent years, which also features many examples of disinformation, factoids, posts, memes, entries, banners, videos, etc., containing unreliable and factually incorrect content, as well as many advertisements presenting various product and service offers aimed mainly at children and young people.
I have described the key issues of the determinants of the development of social media with attention to the issue of cyber security and the technologies used Industry 4.0 in my article below:
The postpandemic reality and the security of information technologies ICT, Big Data, Industry 4.0, social media portals and the Internet
I described the key issues of opportunities and threats to the development of artificial intelligence technologies in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Considering the available technological solutions and applications offered by ICT service providers and the growing scale of psychological problems of children using smartphones and online social media, the following question arises that is relevant now: How to effectively organize parental control of what a child does in the mentioned social media?
How do you effectively organize parental control of what a child does on online social media, what he reads, what he writes about, what he browses, etc.?
And what is your opinion about it?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Thank you,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Dear Prof. Prokopowicz!
You raised a difficult problem to solve due to the complexity of the systemic nature of the issue to address. May I claim that this is a case (child) - and context (family, school, etc.) -dependent topic:
1) Thimm, C. (2023). Mediatized Families: Digital Parenting on Social Media. In: Dethloff, N., Kaesling, K., Specht-Riemenschneider, L. (eds) Families and New Media. Juridicum – Schriften zum Medien-, Informations- und Datenrecht. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-39664-0_2, Open access:
2) Pescott, C. K. (2024). ‘They are watching you do everything online’: Children's perceptions of social media surveillance. Children & Society, 00, 1–19. https://doi.org/10.1111/chso.12835, Open access: https://onlinelibrary.wiley.com/doi/10.1111/chso.12835?af=R
Yours sincerely, Bulcsu Szekely
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Why don't the companies running social networking sites that make money from ads posted on their social media bear full responsibility for the content of the ads posted and for the financial, social, moral and other damages caused by ads that are not properly verified?
In today's most popular online social media, there have recently been many untrustworthy advertisements for various products and services, including misleading ads presenting false, unreliable, fraudulent offers of pseudo financial services. Often beginners or experienced influencers and youtubers play the role of presenting certain offers. Sometimes the people presenting certain untrustworthy offers of products or services are seemingly random people who, seemingly as mere citizens of the Internet who want to share their experiences of using various offers, presenting mainly or exclusively positive aspects of using certain presented products and services in reality are paid by the companies whose offers they present. Sometimes influencers and youtubers are given ownership of a specific advertised product for free as a form of gratification. In addition, artificial intelligence technology is increasingly being used to create advertising spots broadcast on social media. Individuals and companies using generative artificial intelligence technology, including applications based on AI technology available for free on the Internet to create advertising spots are taking advantage of legal loopholes, i.e. the lack of legal regulations that would normalize this sphere of the use of AI technology and limit the scale of misinformation, generation of fejknews, untrustworthy advertisements presenting various product and service offers using misleading content to the public that is inconsistent with facts, unverified using reliable, objective expert knowledge, scientific research conducted, etc. In addition, in AI-generated spots, animations and advertising videos, more and more often, instead of human influencers and youtubers, there are replacing them with a kind of avatars, digitally generated people who do not exist in reality. It happens that digitally generated images of real existing public figures of politicians, athletes, showbiz people, actors, singers, etc. are used in unreliably generated spots, animations and advertising videos, into whose mouths are put statements, texts, words that in reality they have never spoken. Recently, more and more often in the online social media, in which there are certain segments, generations of Internet users, citizens, there are many unreliable, taking advantage of the low level of knowledge in the field, offers of pseudo financial services, offers of supposedly super easy and highly profitable investments in cryptocurrencies, in miraculous investment strategies in Bitcoin requiring virtually no knowledge of finance, extra unique investment offers in precious metals, in contracts on selected securities, shares of dynamically growing startups basing their development on artificial intelligence technology, conducting innovative research projects with the aim of creating a miracle cure for cancer or other difficult-to-treat or incurable diseases. Public organizations and institutions representing the interests of consumer citizens, dealing with the issue of consumer protection and competition, investigating the problem of unreliable and misleading citizens presented in social media spots, animations, advertising videos, NGOs and socially active organizations are trying to warn citizens against such unreliable, fraudulent, false content ads. However, the main role in protecting citizens acting as consumers of information should be played by the technology companies running the aforementioned online social media. Leading online technology companies running popular social media sites are developing new technologies and are most equipped with modern ICT, Industry 4.0/5.0 technologies, and are therefore most predisposed to create reliably effective systems for verifying the content used in advertising campaigns run on their social media. This is because there is a lack of legal regulations in the legal normatives that would oblige the companies running social networks earning money from the advertisements posted to verify the content used in the advertisements, to check the issue of compliance of the content of the advertisements with the facts, with the generally applicable expert knowledge, with the results of scientific research conducted, and to make the said technology companies fully responsible for the content of the advertisements posted in their social media and for the financial, social, moral and other damages caused by the advertisements not properly verified. Besides, in addition to the necessary legal regulations, there should be a system of mandatory insurance fund financed by the said technology companies, from which compensation would be paid for all the negative effects caused by the broadcast on social media of fake news, misleading product and service offers, unreliable influencers, youtubers, advertising companies, etc. An additional solution that should be introduced is the possibility of legal enforcement of financial claims on the aforementioned insurance funds from unreliable influencers, youtubers, advertising companies, etc.
I have described the key issues of the determinants of the development of social media with attention to the issue of cyber security and the technologies used Industry 4.0 in my article below:
The postpandemic reality and the security of information technologies ICT, Big Data, Industry 4.0, social media portals and the Internet
I described the key issues of opportunities and threats to the development of artificial intelligence technologies in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Why don't the companies running social networks that make money from the ads posted on their social media bear full responsibility for the content of the ads posted and for the financial, social, moral and other damages caused by ads that are not properly verified?
Why don't the companies running social media sites bear full responsibility for the content of unreliable ads posted?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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1/ - The answer to the main question is in the first sentence - companies that make money on advertising are materially interested in having as many ads as possible. Therefore, any verification of ads is not in their interest.
2/ - How do you imagine verifying the reliability of advertisements? If you do it really seriously, it may turn out that no ad will pass the reliability test. The essence of advertising is to persuade people to behave in a certain way, make decisions, make choices, make purchases, conclude contracts, etc. Advertising typically uses manipulation, at least by exposing the advantages and omitting the disadvantages of products, services, investment offers... etc. Expecting reliability from advertisements is at least naive, and making important decisions based on them without verification on your own is stupid.
3/ - AI is a threat because it raises the possibilities of manipulation to a higher level. But the possibilities of manipulation themselves have existed for a very long time - only the technical means of their implementation and propagation are changing. Without questioning the validity of attempts to legally regulate this phenomenon, I am afraid that without appropriate education these regulations will be ineffective. Ultimately, AI will certainly be a cheaper solution than corrupting the so-called influencers. There remains the issue of distinguishing real people from artificially generated personas. This problem has also existed for years, for example in the form of troll farms used in commercial activities, in political marketing, as well as for the manipulation of social moods and information and psychological operations, which we can beyond any doubt qualify as an element of hybrid warfare. AI provides new technical possibilities, but the phenomenon itself is not new.
4/ - The idea of compensation requires consideration of the scope of liability. Compensations may be counterproductive. People protected by the possibility of obtaining compensation may become less careful and prudent and make more risky decisions in hopes of compensating for possible negative consequences. The experience of numerous frauds and financial pyramids shows that people who are eager to look for easy profits are also eager to look outside for those who are guilty and responsible for their own mistakes. I believe that reinforcing such attitudes by shifting responsibility for wrong decisions to other entities is at least risky.
5/ - I see no chance for practical verification of the compliance of advertisements with scientific knowledge. The essence of advertising is a large dose of creativity aimed at giving the recipient specific impressions and emotions. Ultimately, the introduction of such regulations may end in questioning the image of a purple cow in the "Milka" advertisement, because there are no such cows, while the authors of the most perfidious advertisements will probably make every effort to maintain formal compliance with such regulations. When you order a service and you are not satisfied with its performance, you can easily verify whether the contractor simply did something wrong or wanted to cheat you. An honest contractor will try to solve the problem himself, while a fraudster will be so well prepared and legally protected that it may be unprofitable to get him to acknowledge the complaint. If someone intends to act dishonestly, they usually prepare well for it and take care to minimize legal risk. Therefore, I expect exactly the same with regard to possible regulations regarding advertising accuracy.
6/ - To sum up, I believe that trying to solve the problem using legal methods will not be effective. We must take into account great resistance from groups that earn a lot of money from this type of advertising, accusations of introducing censorship and limiting freedom of speech, as well as undesirable side effects. For example, attempts to combat disinformation and conspiracy theories by legal means may add media coverage and contribute to their popularization. It may also turn out that the introduced provisions will actually become the basis for limiting freedom of speech by, at least temporarily, blocking publications that are inconvenient for the authorities and do not necessarily have the nature of advertising content. Therefore, I believe that education related to this type of threats, developing critical thinking skills and verification of sources, as well as reliable economic and social education as an element of protection against manipulation and belief in easy profits or simple solutions to complex problems are much more important.
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Hello everyone. I have question about obtaining data from Internet.
In my research I will analyze comments from websites and social media platforms. And I am searching for applications/apps/technologies other tools to download comments from Internet to my computer.
Do you know any tools/apps to download comments for free?
There is around 10.000 comments and if I would copy/paste one by one it would take me a lot of time. I want to obtain data quickly.
Do you have any suggestions for me?
Thank you so much for help.
Regards, Nejc
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Publish your paper for free
_____________________
Dear Researchers and postgraduate students
MESOPOTAMIAN JOURNAL OF BIG DATA (MJBD) issued by Mesopotamian Academic Press, welcomes the original research articles, short papers, long papers, review papers for the publication in the next issue the journal doesn’t requires any publication fee or article processing charge and all papers are published for free
Journal info.
1 -Publication fee: free
2- Frequency: 1 issues per year
3- Subject: computer science, Big data, Parallel Processing, Parallel Computing and any related fields
4- ISSN: 2958-6453
5- Published by: Mesopotamian Academic Press.
Managing Editor: Dr. Ahmed Ali
The journal indexed in
1- Croosref
2- DOAJ
3- Google scholar
4- Research gate
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are there scientific foundations related to Social media research especially data analysis of social media I can join?
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Harus ada boleh lebih dari satu
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On social media platforms (e.g. Twitter), after posting a tweet that has been used to refute false information, is it reliable to use the comments below it to assess the credibility of the tweet? As it is the user's choice whether or not to comment, does this practice lead to selection bias? For example, under the pressure of certain social norms, it takes courage to refute information posted by an official account, i.e. users who support the official claim are more likely to comment.
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A. Greede Thank you for your comments. However, it is difficult to confirm whether people in a certain country have adequate security (or freedom of speech).
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Does any of you examine correlations between the profile of interests, between the environment of raising children and youth and the type of social networking site and the thematic profile of websites, types of social media sites, their specific thematic subpages?
In my opinion, this may be interesting research. It is worth exploring correlations between the profile of interests, between the environment of bringing up children and youth and the type of social networking site and the thematic profile of websites, types of social media websites, their specific thematic subpages. In this respect, there may be strong correlations that are worth investigating scientifically. Interesting may also be correlations between the development of children's and teenagers 'interests and the websites of social media portals viewed and certain types of thematic and group websites focusing on particular Internet users' environments.
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
Does any of you examine correlations between the profile of interests, between the environment of raising children and youth and the type of social networking site and the thematic profile of websites, types of social media sites, their specific thematic subpages?
Please reply
I invite you to the discussion
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In recent years, the dynamic development of popular social media portals, which a significant part of children and adolescents browse every day on smartphones, has a significant impact on the profile of interests of children and adolescents. Recently, there is more and more data suggesting the negative impact of frequent browsing of popular social media portals by children and adolescents. In publications and media reports, there are theses about the correlation between the above issue and algorithms promoting specific posts and comments posted on such popular social media portals as Facebook, Instagram, Tweeter, TikTok, etc.
What's your opinion on this topic?
I invite everyone to the discussion,
Thank you very much,
Best regards, Dariusz Prokopowicz
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Which social media portals are currently being used to the greatest extent in business, for example in internet marketing, in order to present the offer of products and services, present the mission and perspectives of the company's development, improve the company's brand image?
Please reply
I invite you to the discussion
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Dear Main Al-Dalahmeh,
Yes, these are the leading social media whose business success is determined mainly by poorly implemented internet marketing. What do you think about it?
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Is it for children and young people to limit, limit the use of smartphones?
Should I fully control the use of smartphones by children and adolescents?
If children or adolescents use smartphones for learning, as a tool to support education processes, communication with schoolchildren and friends, and if these devices use new online media from time to time, this may not be positively assessed. However, if divides or young people from smartphones use many hours a day, among other things, viewing advertisements on social media portals and worthless memes and films, then it can have a destructive effect on the intellectual and psychological development of children and adolescents. In this situation, the use of smartphones by children and teenagers should be limited and controlled by parents, guardians and teachers.
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Yes, definitely.
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I have started writing an article related to "Narcissism" and its effect on "Social Media". Can anyone suggest a good quality journal where I can submit it. Basically, it will be a systematic literature review paper.
I do not finish my writing yet, so I am not able to share my title or abstract yet.
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Any journal indexed in scopus
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The database of a social media portal such as Facebbok is already a powerful collection of information. Some research centers specializing in the use of Big Data datasets downloaded from social media portals through sentiment analysis, develop reports that can help in forecasting phenomena and processes in the future.
Medicine is one of the areas in which there are great possibilities in this matter. For example, insurance companies and commercial banks granting loans may be interested in information shared by users on Facebook and, possibly, also on other social media portals.
Apparently, some insurance companies and commercial banks during the analysis of a submitted insurance or credit application review the information content of accounts, applicant profiles, potential customer, contractor posted on social media portals. Does anyone from you conduct research in this field? Does anyone of you have scientific publications with research results in this field?
In the context of the above issues, I am asking you the following question:
Is the information about users on Facebook a source of data for companies, potential contractors?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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I am agreeing with your suggestions
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I am doing a research on Twitter and would like to archive tweets over 6 to 10 months. is there any software that I would use to archive the tweets?
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Are you looking out for easy ways to download someone’s tweets or their entire Twitter archive?
While Twitter allows users to download the Twitter archive from their own accounts, you need to get it from third-party tools like Followersanalysis ( https://www.followersanalysis.com/download-someone-elses-twitter-archive ) if you need a Twitter archive from some other account.
It is a paid Twitter analytics tool that can help you download any public Twitter users’ tweets. It is an effective tool that not only helps you access the tweets but also helps in analyzing your Twitter followers. It is a feature-packed tool that can help perform a tweet analysis along with evaluating the quality of the followers of the targeted Twitter profile.
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1. Please suggest easy to use questionnaire.
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There are four kinds of tools available to measure social networking addiction.
1) Tools that measure generalized internet addiction such as Internet addiction scale (Young, 1998), Pathological Internet Use Scale (Morahan-Martin & Schumacher, 2000), Online Cognition Scale (Davis et al., 2002), and Internet-Related Problem Scale (Armstrong et al., 2000).
2) Since Facebook has recently been one of the most popular media, many measures have been developed to measure Facebook-related addiction (Çam & Isbulan, 2012; Andreassen et al., 2012b; Sofiah et al., 2011).
3) Two scales that assess generalized social media addiction are Bergen Social Media Addiction Scale (Andreassen et al., 2016) and Social media disorder (Van den Eijnden et al., 2016).
4) Tools that measure social networking addiction such as Addictive tendencies toward SNS (Wu et al., 2013) and Social networking addiction scale (Shahnawaz et al., 2013).
However, a closer look at these tools revealed that none measured social networking addiction except for the last two. The first category of tools measures generalized internet addiction while the second category of tools measures a very specific parameter that is Facebook. The third category of tools which are of recent origin measure social media addiction. In a review on social networking sites, Kuss and Griffiths (2017) categorically stated that “social networking and social media use have often been interchangeable in the scientific literature, but, they are not same” Also, they stated that “Facebook addiction is only one example of SNS addiction.”
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The continuous increase of online users, have given opportunity to many business executives to utilize social media for their brand promotion or recognition. Organizations utilize social media sites like Twitter, Facebook, LinkedIn, Flicker, Google Plus and YouTube to promote their product, service or brand worldwide. Increase of consumer engagement in online social activities forced companies to integrate social media factors into their marketing strategy.
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How should/could we consider all of the dimensions, polarization and dialectic and problematic forms of engagement within and in relation to social when doing research on citizen engagement in relation to social media? Our research team has been doing research on the subject for the past few years, and this has involved online questionnaires in a number of countries, case studies using mainly Twitter data, interviews with diverse colleagues and civil society activists internationally, and knowledge dissemination and debate mainly through Facebook, among other connected projects. While we can theorize and conceptualize citizen engagement (we’re interested in examining the effects of social media on citizen engagement?), we’re also participants (consumers and producers of debate, dialogue and interaction). We’ve noticed and also experienced bots, trolls, cantankerous individuals and moments of in- and mis-comprehension. This goes with the terrain but also makes us reflect on how debate does, should and might take place within the confines of click-bait, clictivism and sharply divergent viewpoints. Some have argued that there isn’t a lot of space between disconnected and unlike groups and interests to address concerns in a meaningful way, and we can see this. Others have noted there are some openings for more engaged and salient debate, and we can also see that some social movements have been able to move beyond mobilized opposition to reach higher levels (BLM, #metoo, Idle No More and other examples), and, effectively, bring about some levels of conscientization and social change. My question relates to this changing context, and how we should consider social media research, warts and all. Traditionally, there have been many levels of control on who participated and how through research but now the gate has been, proverbially, blown open. How do researchers consider the ethical, epistemological, methodological and personal dimensions of research that connects with, is interwoven with and overlaps with social media?
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Is the security of information collected in social media portals databases currently one of the key determinants of the development of new online media?
Security of social media portals is currently one of the most important topics of social media portals and other new internet media and information services. Therefore, scientists at various universities are involved in researching this issue. Therefore, security tools for information collected in social media portals databases and data security systems on the Internet are being developed. In companies and key public institutions, systems for risk management of information systems and information transfer on the Internet are also developed.
Do you agree with me on the above matter?
In the context of the above issues, the following question is valid:
Is the security of information collected in social media portals databases currently one of the key determinants of the development of new online media?
Please reply
I invite you to the discussion
Thank you very much
I also conduct research in this matter. I am researching the security of social media portals in connection with Big Data database technology. Below are links to my publications:
I invite you to discussion and cooperation.
Thank you very much
Best wishes
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Social media, in recent times, has with eased an explosion of data with so many social media platforms available to interact and express opinions freely. This has led to easy access to the privacy of social media users which raise broader security concerns … Sharma, S., & Jain, A. (2020). Role of sentiment analysis in social media security and analytics. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1366.
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There is a lot of mental disturbance due to social media platforms. How can someone manage that mental stress? Won’t social media platforms harm our brain more than now. What about the future generations?
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We have to move from ego (maximizing material desires) to soul (living by spirit).
Electronic platforms are only a modern technical media reflection of the unbalanced human psyche. The way of positive psychology is mutual understanding, creative love and spiritual elevation by higher wisdom.
It can not be ruled out that some forms of mental depression have genetic or physical roots, but this is a limited and smaller group of human psychopathology, i.e. sometimes, only medication can help to better a condition for certain patients.
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I am trying to complete my PhD thesis and I would like to extract data from social media (in particular Facebook).
Most of the methods I found are now obsolete. Any recommendations? Thanks.
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The Internet has been developing only for 3 decades becoming the main global information medium and the environment for creating new types of websites and innovative, technological startups that are successful in business if they offer attractive information services. Examples of companies that initially as startups and now as large technology companies have achieved spectacular business successes are corporations offering Internet information and marketing services in the environment of created and developed social media portals.
Currently, there are many, at least several dozen globally operating social media portals, several of which have gained a large, minimum percentage or larger share in the market of information and marketing internet services. Globally, these markets are dominated by several social media portals that have specialized in a specific profile of information and / or information offered to a particular segment of Internet users. Social media portals dominating globally include: Facebook, Instagram, Tweeter, LinkedIn, Google+, YouTube, Pinterest and others. Among the Internet users, the largest segment of the recipients of information services for social media portals are young people, many of whom are still students of primary and secondary schools as well as students studying at universities. As a result, social media portals used as a communication medium by students are increasingly becoming an instrument supporting the learning process.
Due to the above, the dynamic development of social media portals on the Internet is currently underway. For young people using smartphones, social media portals are one of the main sources of information. Probably the next stage in the development of social media portals will be the implementation of artificial intelligence to these portals and to search engines and the creation of applications of the type of interactive advisors on individual Internet information pages. New technologies of computerized, advanced information processing, technologies typical for the current fourth technological revolution, known as Industry 4.0, are increasingly integrating and functioning in the Internet environment.
The current technological revolution, known as Industry 4.0, is determined by the development of the following technologies of advanced information processing: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced data mining technologies. These technologies are successively implemented to developed social media portals. Due to the development of applications of these advanced information processing technologies, new types of computerized teaching instruments are created in educational processes, and educational systems also undergo technological transformation and Education 4.0 is defined.
Do you agree with my opinion on this matter?
Therefore, I am asking you the following questions:
- Does the development of social media portals affect educational processes in schools and universities?
- How will education change in the future due to the development of smart social media portals?
- How can this development affect education, pedagogy and education in the future?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Social media has become an integral tool for medical societies, hospitals, and advocacy groups. These groups are using social media to engage, teach, and connect, and they play an important role in providing accurate, vetted health information. In addition, organizations have realized that encouraging live-tweeting or blogging of conferences provides opportunities for wide dissemination of content... Sutherland, S., & Jalali, A. (2017). Social media as an open-learning resource in medical education: current perspectives. Advances in medical education and practice, 8, 369.
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We are conducting a research about the language use of Manobo students on social media specifically facebook, twitter and instagram. Your input could surely enhance the said endeavor.
Thank you very much!
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These studies can be found on many websites
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I am looking for a database where social networking sites statistics such as facebook, twitter etc are available for Australian companies. Has anyone an idea whether something like that exists and/or if there is a software which will extract that data? 
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You may try webometric analyst software which can help you track mentions in social media platforms such as YouTube, Facebook, twitter, Mendeley, Altmetrics, Web citations etc. You may download it at https://www.mozdeh.wlv.ac.uk
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Seeking the equivalent to a social networks structure graph for online scholarly article mentions. 
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Hello, colleagues! Which social media monitoring / listening system do you prefer in your countries? In Russia we mostly use Brand Analytics and Youscan.
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Anna, thanks for your answer! Very interesting, I'll try it
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As a student I am currently working on a Social Media Research report project analysing a piece of content that has both interesting audio voice over and interesting videography.
In my research of this content I would like to briefly discuss how we absorb content and if there is any difference between genders when absorbing content that has both visual and audio.
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As Michael W. Marek suggests, once you have a clear taxonomy of the corpus of analysis and after setting specific topics for analysis, you can try to do a multimodal analysis of the content. In this way you can observe and analyze how the two types of semiotic resources (audio and visual content) are combined to build meaning.
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We are using the social media (FB, blog, and twitter) as an advocacy tool for our community research interventions. We have challenges of penetration into the main stream marginalized population with limited literacy. We're using innovative approaches for every campaign. I'm very interested to know about the functional types of social media related to community based research.
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human safety spaces, freedom thought, feeling arising
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I am currently writing my dissertation investigating the motivations of older adults in their participation in online communities. I am looking for journals where I can publish. This is my first attempt to publish in a journal. Any recommendations? Perhaps you can share your experience in publishing in these journals (timeline, processing charges, review processes). Since my study is multidisciplinary, journal recommendations on the areas of ageing, gerontology, social media and communication are appreciated.
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"GERONTECHNOLOGY" is the official journal of the International Society for Gerontechnology [www.gerontechnology.org]; it's on web: https://journal.gerontechnology.org
all the best, & go on in this promising field, MC
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What kind of scientific research dominate in the field of social media portals? What are the important topics in the field: Social media?
Social media can affect the personal lives of individual people. The sociological behavior of people is changing. Some people exchange traditional contacts with other people for contacts via social media portals. It changes the sociology of people's behavior, it affects sociological behavior, it generates new types of problems that also affect behavioral economics and the behavior of entire communities.
Please reply. I invite you to the discussion
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Can a school discussion club run on social media portals be an active didactic tool that develop critical thinking in students?
Yes, I totally agree to this concept. First of all, it should be monitored by teachers and school authorities prohibiting negative and offset remarks.
The threads of conversation and relevant answers to questions by students will boost the morale of students. The intrinsic motivation of students will accentuate while seeing their answers being READ, RECOMMENDED and LIKED. The students will opt for research and give valuable and deep insight to questions enhancing critical and collaboration skills. These two skills are termed as 21st Century Skills.
Teachers can take the social media discussion tool for discussion in classrooms and also lead students to Media Conference thereby developing leadership skills in them.
Students will be aware of the society problems and feel closer to universal problems which they are part of.
Thanks and Regards
Munira Tharwani
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The protection of private life is essential since a possible injury might be impossible to repair. The video gives a larger view of the invasion of private life caused by social media with a distinct emphasis on FB as the first mover in this business, but in the end only refers to possible financial damages. In my opinion the safety of the internet transactions is only a secondary aspect of a much bigger problem, which is protection of privacy on internet. I am asking for you opinion.
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Privacy and social media are in a paradoxical relationship.
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Dear colleagues,
a couple years ago I used linked to elicit respondents to a survey about the demise of a large global company. It was ideal to connect with people that had worked there and that could provide first hand accounts of this specific case. Are you aware of other published studies that have used social media platforms for their data collection needs? A quick literature review turned up very little.
Laurent
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Have a look at the following PDF attachment.
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October is celebrated as Employee Ownership Month. I am interested in using the NCapture feature of NVivo to capture the Tweets tagged with Employee Ownership Month and variants. The purpose of the research would be to analyze common themes in employee owned companies in how they recognized or celebrated employee ownership. This may include traditional qualitative coding, or analyzing the tweets via NVivo for sentiment.
Have/ or how have other researches incorporated Social Media into research?
Thanks - Rick
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Too too many.
The name you are looking for is @Michele Zappavigna
Also, I have a couple of forthcoming ones too, though the main focus is on multimodality and not purely on text:
Hope this helps.
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I intend to study some health posts and comments on the social media with the intention of analysis such information for research purposes. I plan to maintain anonymity of the originators of the posts and those that commented. Is ethical for me to do so?
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Sure. Just make sure what you are analysing is in public mode and, if it is not, that you have the creator's authorization to explore it.
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Social media research is gaining ground , so is the search for theories other than spawned by old media research in terms of media control, technology, audiences and effects on audiences. The same for data-sets to measure effects, emotions, consumer behavior and hybrid warfare.
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Please check the following article with the 4 philosophical foundations for social media:
"Theories of Social Media: Philosophical Foundations"
available at:
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Hello!
I am interested in the field of experience economy and atmospherics and how can brands use this to leverage their social media marketing efforts.
In practitioner literature they are highlighting the trend of brands designing experiences purposively to be showcased on social media.
For example, restaurants are becoming "instagrammable" to increase the chances of customer taking photos and sharing it on social media.
Firms can design their offline space in a strategic way in order to get visitors motivated to generate user-generated-content and post it on social media, which increases the social media presence of the brand.
Although I have found a vast amount of research on experiences and atmospherics, I have not ben able to find literature related that has identified this specific gap.
Can anybody help me with this?
Does anybody know of any author that might have, even slightly, touched on this topic?
Is for my Master's Dissertation.
Thank you very much for your help.
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Thank you very much for your answer George! However, I wasn't meaning Digital/Web atmospherics but actual physical atmospherics. Like a service or restaurant design or a brand experience physical/atmospherical design.
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Instead of switching on our laptops now we have handy touch screen mobiles with many apps of social media and research stool.Do you think such mobile and advances in their technology have positive impact on our researches or publication? why ,how and how much.
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Every technological tool has private advantages and disadvantages. Even if a new development in Mobile devices occurs, Lab-top or disc-top computers will remains comfertable due to the existence all apps as well as wide screen, windows facilities, easy to move from window to another ...etc.
Regards
Ashraf A. M. Khalaf
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As we know social media has become an international product that connect all the world, but if we starting band company like Huawei, their is a consequences (ex. economically,socially). Because most users of the social media are a smartphone users. And Huawei has the second best sales in the world. Android has more than 80% of the smartphone market and a huge amount of that market is owned by foreign country(Huawei China and Samsung South Korea) The dilemma here is USA has the most of Social media market but at the same time do not have the same advantage in the smartphone market.
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Is not good
These are politically motivated
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I am currently working on a students of Mass Communication perception towards advertising in social media research.
May I know how to measure the perception in my study and what Independent variables that lead to Perception? Thanks.
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You can measure feelings and emotions by big data techniques. It's very common in social media research. Mining text is also another way to detect main frames. It can be done with R or Python. For research I recommend the lexicon from https://saifmohammad.com/WebPages/NRC-Emotion-Lexicon.htm
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What kind of scientific research dominate in the field of Social Media portals?
Please, provide your suggestions for a question, problem or research thesis in the issues: Social Media portals.
Please reply.
I invite you to the discussion
Dear Friends and Colleagues of RG
The problems of the analysis of information contained on social media portals for marketing purposes are described in the publication:
I invite you to discussion and cooperation.
Best wishes
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In view of the above, if the issue of reliability and objectivity of information provided further and reproduced in posts was to be improved on social media portals, it should first of all increase the awareness of Internet users in the above matter.
If users of social media portals begin to thoroughly check the credibility of data sources provided further in the posts of information, then the scale of information noise, fake news, lying propaganda, cynically manipulated public opinion will be significantly reduced.
Do you agree with my opinion on this matter?
In view of the above, I am asking you the following question:
The question of objectivity and reliability of information contained on popular social media portals?
Please reply
I invite you to discussion and scientific cooperation
Best wishes
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I need to collect data for research. How do I gain access to Twitter pipeline and how much will such access cost?
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It depends on what kind of data we're talking about.
If it's about tracking mentions of different keywords, hashtags, or users, a social media monitoring tool would do the trick.
The thing is, if you want to get historical data that tracks a few years back, it's going to cost you an arm and a leg. I am pretty sure you could go with Brandwatch (https://brandwatch.com) if you have the budget.
If you wanted to go after a more budget-friendly solution, I think we could be of help at Brand24 (https://brand24.com).
Like I mentioned, social media monitoring tools help you track a variety of keywords. On top of that, you'll get the analytics that includes:
  • a number of mentions
  • social media reach
  • social interactions (likes/shares/comments)
  • influence score, etc.
Hope you'll find it helpful!
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Many data show that the largest internet technology companies that run social media portals, search engines, information services in cloud computing, instant messaging and other Internet information services gather in their Big Data database systems various information about Internet users using individual information, communication and marketing internet services. Often Internet users are not fully aware of how much information is available about them in Big Data database systems run by the largest online technology companies. on the basis of information collected from various websites and portals about Internet users in Big Data database systems operated by these online technology companies, electronic equivalents of individual People are created in the form of so-called avatars. On the basis of this information, result reports are created in the Big Data database systems of internet technology companies, which are sold to other companies interested in a specific target group of clients, to which they direct their offer of products or services. Frequently, Internet users notice that after they have searched the Internet for information on a specific topic, right after this search on various websites they use, advertisements or products related to what they just searched on the internet have been displayed on advertising banners. This is an example of the use of collected information in the Big Data database systems on the subject of users of individual websites and web portals via the Internet technology company.
In view of the above, I am asking you:
Are there any publications describing the avatars of users of social media portals built in Big Data database systems belonging to the largest online technology companies?
Does anyone of you research the problems of users of online portals built in Big Data database systems?
Please, answer, comments.
I invite you to the discussion.
Best wishes
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Dear Friends and Colleagues of RG
Applications of advanced data processing and analysis in Big Data database systems are gradually expanding in various fields of scientific, research and business activity. The possibilities of future applications are almost limitless. Many business entities that do not yet use advanced data processing and analysis technology in Big Data database systems are considering introducing it to their business activities in order to improve the economic efficiency of their business.
However, the question becomes more and more relevant:
Does anyone of you research the problems of users of online portals built in Big Data database systems?
Do you agree with me on the above matter?
I invite you to the discussion
Best wishes
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A lot of people are making money by taking videos for youtube, or by tweeting etc. They usually called as youtuber or twitter phenomenon.
As they make money from this work and most of them professionals of this area. What do you think about naming them as social media entrepreneurs? Or do you think they are artists? What is your opinion about what their title is? How can we address them in academical publishings?
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I really liked the positioning of the issue and it seems clear that such people are entrepreneurs in social media.
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It seems to me that the answer to this question can be sought through the study of behavioral, social and informational activities of users of social media portals.
Users of social media portals provide specific information for their friends or publicly on the websites of specific social media portals and in the comments posted on other websites.
In this way, social communication develops, which significantly complements and displaces the classic mass media information.
On the other hand, social media portals written by users are a valuable source of information for marketing companies, which analyze and analyze analytical reports commissioned by other companies interested in the opinions of Internet users relating, for example, to the recognition of a brand, product, mission of a specific company.
In view of the above, the current question is: The development of social communication on the Internet?
Please, answer, comments. I invite you to the discussion.
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Good question. Following.
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Nowadays, a lot of social media occupied the minds of PhD Scholars and as such most of their times are being devoted on this social media activities. Most scholars are being distracted at home by family activities. How did you do it that you finish as expected? What did you do to your times? How much time did you spend daily on your write up or your research? How did you prioritize your time? I heard of a Doctor saying that during his PhD Program that he deactivated his Facebook and Whatsapp just to ensure that he finish as designed by the university. In your own case, what method(s) did you apply that makes you finish on or before the time? I will appreciate your candid opinions. Thanks
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I read two very pertinent guide books at the beginning of my PhD. Try reading this one to start: https://www.amazon.com/Authoring-PhD-Doctoral-Dissertation-Palgrave-ebook/dp/B006UH4F12
Three things that I took from these guide books:
  1. Treat the PhD position as a paid job - follow normal workplace rules, start and finish times, scheduling breaks/leave/vacation throughout the year;
  2. Do not get distracted by 'helping' others' research, especially when it comes to research associated with your supervisor/advisor, academic department/faculty, friends, colleagues etch - remain focused on your own research;
  3. Start writing at the beginning of your PhD to practice/improve your writing skills. Conceive that everything you do, everything you write, is designed to succeed in your PhD oral examination - to convince your examiners that you are the expert in your field and that you deserve to pass.
I hope this advice helps you.
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Dear Participant,
I am currently pursuing my MSc. in Information Systems Management from the University of Liverpool. As part of my dissertation research, I would like to help us discover the market’s sentimental mood from micro-blogging posts through identified text clustering and lexical analysis algorithms.
To begin the survey;
  1. You will access the following page http://sema.mdosigroup.com
  2. Login using either your Facebook or Twitter account to access social media content.
  3. Go to the following link http://sema.mdosigroup.com/SEMA which will give you further instructions to proceed.
What you’ll experience will be a simulation of the identified algorithms at work which automatically mark text comments as very negative, negative, neutral, positive and very positive. Your participation in the remaining part of the survey will help us establish how these algorithms can further be used to improve market research in terms of effectively analyzing the market's response to corporate social media posts.
All information collected as part of this research will strictly be treated in confidentiality with individual firms or people not identified.
Thank you for your consideration, your feedback is important.
Yours Sincerely,
Wendy Oludhe
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What is this survey about? Is it still valid?
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Hello to everyone.
Tweets can be downloaded through the R with the Twitter API. Various filters can be used for these tweets (e.g. language, region, time period). While doing so, a word or hashtag is determined and the tweets containing these can be downloaded.
Well, is there any way to get tweets from a particular time frame or location without using any hashtags or words via Twitter API? I just want to get tweets using filters without any specific word or hashtag. I wonder if there is a function like that on Twitter's premium or enterprise API account?
Thanks in advance.
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Twitter's search end point allow you to specify "since" and "until" to limit the tweets to a time period. If you are not interested in any keyword just leave the "q" field as an empty string("").
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hi, I am looking for a sms/text/tweets collection about racism, xenophobia and violence in order to train an algorithm. I am using RapidMiner.
Thank you.
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For a common user, does Facebook differ from Twitter? And they care more about technological features or other things of different platform?
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Hey Xinlin
I can speak for identity from the standpoint of psychology as i am working with Facebook users identity in the field of cyberpsychology.
1) From the point of view of a common user -- The major difference between the two networks is the way information is passed.  On Facebook, you need to connect first with people before you share a content...while on Twitter, you can get quick info without any obligation to follow anyone.Facebook focuses on people and profiles - while Twitter focuses on the actual info shared.
2) Now cause the content on Facebook incorporates more personal information or focus on people and profiles of the user identity experimentation is a common phenomenon (there are a lot of studies shown identity experimentation by users) the issues such as impression management , social integration , information seeking all are the reasons users approach Facebook for.
3) Twitter on the other hand is essentially used for information seeking by everyday users and for probably entertainment purpose.Hence the chances of users identity experimentation in the above mentioned light has bleak chances.
4) I believe network affordances have great impact on users themselves and there identities.
Hope it gave some clarity.
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 corpus is not publicly available , so how can i get it?
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Definitely. Give it a try using DiscoverText.com. We specialize both in access to the Twitter data and the science of annotation.
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Please tell me current problems and challenges for social media like facebook, twitter, youtube.
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Even though you posted your question 3 years ago, I believe the major problem is still related to correct interpretation of context in which certain words are used.
It is still difficult for a vast majority of tools to precisely evaluate what truly is a negative, neutral, and a positive statement. I am not quite sure about the mechanics behind it, but at the moment it’s not advanced enough to successfully deal with sarcasm or context of some of the discussions.
Have a look at the example file I attached:
As you can see, this mention from Twitter was laballed as a negative one. The reason for it is the word “guilty” which in its essence is a negative one. However, in this particular case it was used jokingly and was not used in relation to any of the brands mentioned.
While it can be extremely helpful, there’s still a long way to go before sentiment analysis becomes more accurate. Even though it’s an automated process, marketers still need to evaluate themselves whether a negative mention is truly negative, for instance.
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Until 2016, it was possible to develop apps that could mine Instagram information for analysis; a masters student of mine built her thesis around information processed through a custom-built tool. Then Instagram closed access, and apparently only commercial use is allowed, and through a difficult process.
I'd like to know if there have been any changes to that situation, or to Instagram policy, and whether any fellow researcher has been able to access Instagram data for academic research.
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Hello, sorry for the delay in answering;
a couple years ago, me and a student had the help of a computer software technician who could deal with the Instagram APIs, so he developed his own app just from that; but since then the API library has been closed to anyone but developers. So we're not currently using any app; i do admit that some companies provide that effort, and their apps mins instagram, but for business purposes. Is there no way other than become a client for those companies?
Paulo L
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Hello,
I am looking for a scale of self-enhancement to use in my social media research. Does anyone have any scale recommendations? The fewer items, the better in this instance.
Many thanks
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OK. You can use Facebook intensity scale.
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Do you know some framework / approach I could use on the analysis of the moral related aspects of reviews online? Many thanks in advance.
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Hi Fernando - sounds like an interesting project. It might be useful to know what you are seeking to look at - are you, for example, most concerned with trustworthiness of reviews? If so, is you starting assumption that those reading the reviews place reliance on them, and is that an unthinking, total reliance, or is there a degree of skepticism?
You might find the Trust Project at Northwestern University (USA) interesting.
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I want to create a credit scoring system based on social media data and I am looking for a suitable dataset, but I have not been able to find it. I need a dataset containing:
1- content text
2- metadata about the post (user's age, location, etc.)
3- ego network
4- financial information or credit score (want to compare social credit score with traditional FICO score)
Can anybody help me to find a data-set with this features please?
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You can find a dataset with algorithms in this Github repo:
As well as a Guide to Credit Scoring with R.
Using Random Forests, Logistic Regression, Bayesian N, and other techniques:
These should be good enough to get you started.
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This study focused on social media influence on youth social life.
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See the link below for possible theories applicable.
Best regards,
Debra
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I have witnessed that most of the recent quantitative social media research studies which published in the top world ranked journals were employing statistical technique as simple as regression analysis and as advanced as SEM to a greater extent. However, almost every research is using convenient sampling. But still, most of the academia being as panel members of research viva voce are strictly expecting the sampling method to be random to perform such analysis techniques. I want expert scholarly insights on above issue.
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The non-probability technique of convenient sampling may be applicable in some circumstances, for example, to get a quick glimpse of an opinion poll using social media. For example, we have seen polls posted on Twitter, but this would be restricted to only those respondents who follow that particular researcher or who he/she follows.
However, where the sample has to be truly representative and the results from the sample are to be used to generalize to the population from which the sample was selected, then probability sampling is merited.
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I and my research group are doing research related fake news (hoax) on social media especially Twitter. We are somewhat confused to specify the parameters that characterize the fake newsletter accounts. And here are some questions we are confusing about.
  1. What are the parameters that can be analyzed to detect whether the Twitter account is spreading fake news or not? (Eg: the following and followers ratios, account age, etc.)
  2. Does the verified mark on Twitter guarantee that the account is not spreading fake news?
  3. Is there a special pattern regarding spreading fake news on Twitter?
  4. Is there any databases related to fake news on Twitter?
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Dear Gusti:
See this News Tracer tool developed by Reuters. According to Columbia Journalist Review, it "analyzes every tweet in real time—all 500 million or so each day" , and "assigns a credibility score based on the sorts of factors a human would look at, including the location and identity of the original poster, whether he or she is a verified user, how the tweet is propagating through the social network, and whether other people are confirming or denying the information. Crucially, Tracer checks tweets against an internal “knowledge base” of reliable sources. Here, human judgment combines with algorithmic intelligence: Reporters handpick trusted seed accounts, and the computer analyzes who they follow and retweet to find related accounts that might also be reliable."
Perhaps it will be also useful the paper about how to identify bots on twitter.
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I would like you to share your understanding in response to the following:
a) Why sites like mystarbucksidea.force cannot be counted under social media? Even if such stakeholder engagement platforms are owned by companies that market directly, they can be spun off tomorrow to make them largely independent and broadbase themselves as general purpose social media.
Isn't there too much at stake for big companies to leave social media to few outside players like facebook and google+?
b) If social media continues to be increasingly powerful, it may eclipse or even subsume traditional media (print, broadcast etc.) that is mainstream media today. In such an event, it may no longer be possible to tell social media apart from other media and as a consequence; social media marketing apart from rest of marketing. It'll just be part of integrated marketing like what happened in the case of Integrated Marketing Communications (IMC).
Do you foresee a scenario in which almost all media shall be subsumed under social media?
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The so called “new media”  is the expression applied to social media and other online information networks which have turned into a major interactive resource dominating all aspects of the modern society. In particular, the amazing expansion of  social media  has evoked a number of  positive and negative reactions on the part of those affected by its widespread applications. Like you, many consider social media as a serious threat to traditional media perceiving an imminent eclipse. The main reasoning is that there is a tremendous demand for global communication and social media platforms have been able to  alter  communities and decision making bodies due to their  ease of accessibility, quick interactivity, and fantastic opportunities. While not denying the importance of social media in creating and strengthening relationships, there are  individuals who strongly believe that information sharing space is not the best place for confiding to others private information  disclosing personal thoughts . Exemplifying this is the case of  cyber threats in social networking , which have questioned social media  credibility and honest communication. However, dramatic advances in social media  applications from politics to commerce, to academic circles ,to news reading and advertising reveal that future prospects all herald  a scenario in which almost all media would be subsumed under social media. 
Best regards,
R. Biria
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I'm currently trying to find out that our perception about the millennial generation (Gen Y) is that they are overly exposed to social media and look for ways of connecting with people even when at the workplace, does this perception of them hold true in terms of their workplace behavior? And what are the behavioral differences across different generations at the workplace?
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  1. You'll be surprised that Gen X also use SM at work just as much as Gen Y. A lot of businesses promote SM "use" to engage with with customers, source new leads etc. The psychology behind it is quite complex to just assume that only Gen Y will be the main users of SM at work. The behaviour side of things depends on the organisations culture. There are so many factors and limitations to consider in your question.
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Companies have started branding products and services via social media like FB, You tube etc. I am trying to look if a similar framework can be used by organizations to brand themselves as great places to work and what kind of impact such branding would have on potential applicants.
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A brand is the idea the public has about the business.  The business "brands" itself by working to influence the public perception.  All channels of communication must reinforce this brand identity the company wants to promote.
Yes, there are certainly companies out there whose brands include being a good place to work.  They cannot simply SAY it is a good place.  They have to provide evidence again and again, and all contact the public has with the company must be consistent, including those messages the company cannot directly control.
For example, if a company claims to be a great place to work, but then we see news stories about union problems, it is not a consistent message and the public will not be as easily persuaded.  
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I have already done some work on this aspect - psychology and culture - the POVs and other explanatory aspects to understand the relevant implications on the sexually explicit materials in the media. There are many models related to the cultural studies that can be used when it comes to analysing these aspects from cultural point of views. For Psychology - what can a relevant theoretical framework in this regard? I want to explore a number of psychology related theoretical frameworks in this regard...
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Freud plus media's uses and gratifications theory , cognitive leaning theory will form the theoretical framework. 
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Preferably a quick measure to test adults, such as a questionnaire.
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Have you considered media exposure; since the following language outlets could essentially be interpreted as a type of media. A detailed description is on page 154, while page 158 contains the measures.
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Hello, Researchers,
If you use anything of the Memes rule the World dataset slide show attached below, I will appreciate a citation. This is MLA format.
McMillan, Gloria. "Effects of Facebook Memes on the Brain." ResearchGate Accessed 28 Jul 2018. https://www.researchgate.net/post/Effects_of_Facebook_Memes_on_the_brain
Question:
Is anyone studying the costs and benefits of "meme trading" on social media?  Is the effect more negative?  That is, causing fewer neural connections to be formed because passing on "junk memes' is so low cognitive activity.  OR is there some burst of neural development that comes from passing on many slogans and posters?
I  wonder if the cognitive developmental of Facebook and other social media "memes" are being studied.
Older adults tend to use "boilerplate" language when they tell stories.  Key words will trigger a story told with identical phrases.  These older adults are not creating new neural connections, or very few, when they repeat the same phrases.  Do memes function this way and what are their effects on much younger people?
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Actually, I ''stole'' it from the David Lean masterpiece, 'Lawrence of Arabia', one of the truly great films.
Would be a bit more happy with it tough, Gloria, if we remembered--and as this year's billion-dollar election/jokefest clearly showed--that the 'progressive'Left can be as hate-filled (and hate-inducing) as the reactionary right.
SALON is a rag, but there was one good article a while ago on the election in which an unnamed but very senior pollster was quoted as opining: 'All that the 2016 election really comes down to is that economically under-privileged heterosexual white males finally figured out a way to do identity politics of their own. It's called Donald Trump.' (paraphrase).
The nice thing about IT is that absolutely anybody can use it for any purpose whatsoever--just like with nukes.
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I am currently working on my dissertation and am studying why some people create and share content in online communities and some do not. Does anyone know a valid instrument I can use?
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People choose to contribute to content focused communities after they decide that the potential benefits of supplying their knowledge to the network outweighs the effort needed to produce the content asset. Take the case of RG: researchers publish content in the hope of getting recognition for their hard work doing research, or perhaps to connect with other similar researchers, or maybe they are looking for new research opportunities and funding. Since the content (mostly research articles) has already been produced for other purposes it is quite easy for researchers to convince themselves on the benefits of publishing their work on here.
The marginal utility gained from posting an article is thus positive and will increase with each reaction (like, distribution) gained. This will lead to even more knowledge sharing and interaction within the network.
On the contrary if the researcher decides that the opportunity cost of creating and publishing content on this particular network is higher than posting to another network then they will be less likely to contribute.
I think it mostly has to do with perceived benefits and instant gratification but I am no expert so I might be wrong.
It would help if you could share more details about your intended study: the hypothesis you're putting forward and the methodology you want to use so that the community can provide more relevant input.
Good luck with your research!
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I define "bookish social media" as bookish minded communities on popular social media sites (i.e. BookTube, #bookstagram, book blogs, etc.). Any literature you think might be of value to read would be appreciated! 
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Hi Lori,
It sounds like your class is similar to the one I'm currently teaching! My students have found the following critics most useful for their research on digital literary cultures: Simone Murray, Beth Driscoll (look at the recent special issue of Logos she edited), Meredith Nelson, Claire Squires, Danielle Fuller and DeNel Rehberg Sedo. 
Good luck with your research!
Lisa
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So, Hornet is currently the most popular geo-social dating application for gay/bi men in Turkey. That is why I decided to study interactions there and my intention is to draw my sample for the quantitative part of the research from discreet Hornet users. Problem is those users are discreet meaning that they either have no picture on their profile (they don't see them unless they contact you), or they have pictures of part of their bodies, or random pics on their profile. Some of them identify their discreet status with hashtags. Anyways, I assume that maybe there are 1000-2000 Online hornet users on average at any time in a day in Turkey.
What should be the sample size for the survey, quantitative part?
How would you go about contacting those discreet members of the application?
Would you perhaps create a researcher account explicitly stating that you look for   Discreet users?
Or, how about individually contacting people on the platform? Would it be representative and/or ethical?
i have no field experience in social sciences, especially quantitative research. So I wonder how would you go about collecting this data?
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Selecting study participants is always challenging, especially from a population that may not wish to be selected for the characteristics you are interested in (i.e. sexuality). I would also recommend the "researcher account" approach, as you will allow your study participants to self-select. However, you are then limited to people who see your account/ad, and who were comfortable enough to reach out to you, giving implicit limitations to your participant pool. You could also use snowball method (also called key informant method) and ask your self-selecting participants to identify others within their social networks who also use the dating app, thereby expanding your reach.
By discreetly asking for study participants that is practically impossible to know if your selection is truly "representative" of the community as a whole.  However, if you are interested in saturation of data content rather than representation across a total sample, you may be able to achieve that through interviews with your participants. I suppose it really depends on your research question and what type of information you are hoping to collect from your participants.
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Hello Everyone,
Have you had experience of or  know any studiesusing Instagram photography as a research mode in a tourism context? I am interested in exploring the food images consumers "share" via Instagram and am struggling to find any examples
of a similar approach, and suitable methodologies, Pink does make reference, but I wondered if there were any more recent practical examples or studies that I could draw upon?
thank you and with best wishes
sharon.
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do u think it can be use as authentic source of data
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Is there any dataset with ground truth/ benchmark which is available for event detection and analysis in social media (Particularly Twitter)?
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Ya.. i have exported dataset of sarcastic tweets in my profile. You can check it.
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I am working on a qualitative study of student perceptions of the connections to school leaders built through social media.  I have not been able to find a validated instrument that is not a scale and would like interview type questions. Thank you!
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Not exactly but this article may provide you with some useful insights.
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There are several theories based on personal Behavior or Social behaviour. Theories like technology Acceptance Model is an example. What would be a good theoretical model to consider for developing a research design with constructs to research on the influence of social media on consumer decision making?
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Hello Murugan, you should investigate NETWORK THEORY AND ANALYSIS.
The suggested path focus on how relationships influence behavior.
Core Assumptions and Statements
Network analysis (social network theory) is the study of how the social structure of relationships around a person, group, or organization affects beliefs or behaviors. Causal pressures are inherent in social structure. Network analysis is a set of methods for detecting and measuring the magnitude of the pressures. The axiom of every network approach is that reality should be primarily conceived and investigated from the view of the properties of relations between and within units instead of the properties of these units themselves. It is a relational approach. In social and communication science these units are social units: individuals, groups/ organizations and societies.
Other theories you should also investigate are:
▪ Theory of Planned Behavior
▪ Social Presence Theory
▪ Uses and Gratifications Approach
Depending on your approach, you should also check
• Cognitive Dissonance theory
• Elaboration Likelihood Model
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Hello everyone, Does anyone know how to measure the use of screen time by young adults? I'm trying to quantify this (TV, cellphones, Facebook, Twitter, etc.) for finding any relationship with food choices, eating patterns, fitness activities, and overall overweight/obesity, etc. Is there a scale of tool that I can use? Thank you in advance.
Sadguna
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With the exception of the developing world, just about every young adult carries a cell phone. Every cell phone has a stopwatch. You could ask participants to use their stopwatch to monitor screen time and then have them text the length the stopwatch ran at the end of each day.
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I am using Critical Discourse Analysis (CDA) particularly, Discourse Historical Analysis to do the data analysis and I wanted to know if there is what could be said to be a good sample size. My preliminary finding is that some of the tweets are senseless
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Hi! I am not an expert in CDA, What I have done is research with surveys + interviews. In that case, the results of the quantitative analysis helped me to design the sample for the qualitative part. The qualitative sample was designed following the lines of variation found with survey data.  If you found that tweets vary according to characteristics A, B and C, then you need to draw at least three samples of tweets for the qualitative part: one sample of those that comply with charact A, another sample that comply with charact B, etc.  This is just a suggestion, whilst someone with more expertise in CDA can answer. Warm regards,
Inés 
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We want a list of people in Spain who have the word snapchat in their bio. Is there any specific application that will produce these results? It must be in their BIO's.
Thanks 
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You could try it to other professional networks!
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I am researching the effects of social media adoption on traditional media advertising.
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Dr. Rauschnabel,
My context is social media marketing and this paper is interesting and informative.  
Thank you
Regards
Elaine
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I'm working on a short piece on social media research methodology which might include some helpful cases studies. Any recommendation would be most welcome.
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It would be nice to get some updates on this please. Have you published your findings?
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Or, alternatively, is there any literature on media education with special reference to power or empowerment?
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hi, you can find your answer in many articles by charles wankel, they are published by emeral publising,
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the reasons that lead individuals to seek online psychological consultations instead of in-person assistance?
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THANKS Dr. Rozália Klára Bakó 
It is a good articles...
Regrades,
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Hi, I would like to measure public servants' propensity to share tacit/explicit knowledge on the social media. I would appreciate if you could recommend a widely used scale for measuring propensity or tendency to share such knowledge.  
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Measuring the propensity to share knowledge will not yield much value if the exercise does not also consider the environment that conduces or fails to conduce knowledge sharing. In 2009, ADB conceptualized a learning organization model to gauge four important  factors that drive that. Learning for Change in ADB, available at https://www.researchgate.net/publication/266912404_Learning_for_Change_in_ADB, details the elements of the model. (The subsystems are organization, people, knowledge, and technology.) The results of a Learning for Change Survey conducted in 2010 are at https://www.researchgate.net/publication/268516883_2010_Learning_for_Change_Survey.
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Hi, in my paper I would like to write "we are in the age of social media". However, I can not find a proper reference for this (It may sound a little naive). Do you know a theory which defines and explains "the age of social media"? 
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Dear colleague,
I think that books and texts of Manuel Castells and Shel Holts are appropriate, regarding your question.
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I found not one study on U.S. public school districts' use of Twitter. If you know of any research, please let me know! Would be very helpful for my proposal. Thank you in advance.
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I found one. See the link below if this can be of help to you.
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As you are aware that the social media is disseminating pornographic material and has been utilizing even by terrorist to gain support for their activities and even for communication  they are creating separatist groups. In these circumstances, do you feel that some legal restriction should impose upon them or in the light of right to freedom of speech and expression they sould be left free.
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There are several critical aspects to this question;
1. Freedom of speech
2. National security
3. Protection of children
4. Content regulation - pornography, indecent , obscene, inflammatory, sensitive, defamatory etc.
While some measure of regulation has been recognised as necessary for the protection of citizens. Social Media users should observe the same real world courtesies online as is legally necessary offline.
This really calls for a careful balancing act. Most countries have in place some form of content regulation mostly for protection against obscenity. However certain countries have tighter control in the name of national security.
The real question here is what is 'National security' ? Governments tend to misuse this. In practice it translates into control of any kind of criticism against the government of the day. This is where the constitutional right to freedom of speech gets impinged. As does responsible investigative journalism.
So whilst I would agree that content regulation is necessary for the protection of society regulation of social media should have a light touch approach. There should be more scope for self-regulation and as I said earlier social media users need to be educated on courtesies which is sadly lacking in the name of freedom of speech. Comments  and responses should be more professional . Until this is achieved governments will misuse their power to legislate, regulate and prosecute.
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I want to do research on managing big data of facebook and whatsapp . How to start, which research paper to read ?
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Hello,
I have also decided to do a similar research for my grad school.
In my mind this topic has 4 areas.
  1. First the dimensions of big data,
  2. next data management
  3. and then their integration, namely big data management. You could take a look at Hadoop, NoSQL databases and so forth.
  4. Then you should focus specifically on social's media data model. Here you could read about graph databases, graph theories and RDF triples.
I hope this helps you!
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Media can be used in almost any discipline to enhance learning, both in class, and also for out-of-class assignments. Short film and television clips, written articles, and blog postings can be viewed to reinforce concepts and spark discussion. Songs and music videos, especially when the lyrics are made available, can be used to the same effect.
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Dear Gaurav,
for lecturing in mechanical Engineering I used Videos since 1980 and own clips since 1995 and you tube since 2000. The key role of these excellent visual medias are obvious: you are able to bring a part of the reality into classroom. The understanding of processes or machines or apparatus or fundamental happenings/operations is phantastic.You don´t learn reality but students are closer to it. And it is a didactic nessesity to change different methods during a lecture. How boring is it for students haveing the teacher  hour and hour infront of you always talking.
Peter
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Researching the name of this article: The impact of thin idealized media images on body satisfaction: does body appreciation protect women from negative effects? brought me to this database. I am hoping to find this article and ones similar to it. Thank you.
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If you need more information about this topic maybe I can help you.
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I'm starting a literature review on "Social Media Paradox" and "Internet Paradox". I'm interested in knowing publications and authors.
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Paradox is  a rather non descript term. Maybe you can better describe what paradoxes you are interested in .
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Confused by the use of terminologies, while they appear almost same.
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User Generated Content, Consumer Generated Content and Consumer Created Content all mean the same thing. They all refer to the content that is generated or created by an Internet user who is a consumer of this information or content. Social media, however, refer to the online platforms that host this content.
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I'm trying to develop a new project and I think I might need to use both perspectives - both network analysis and social movement theory. I welcome any ideas, suggestions or advice on how to combine them and what their strenghts and weaknesses are - if compared. I've never worked with any of these theories.
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I think you can use both, depending on the social phenomenon you want to study and your research questions.  I've been used Social Network Analysis as a complementary methodology to participant observation in a study of schools communities that use a web site as a pedagogical instrument. I used online data from forum and email to measure social capital (density of networks), cohesion, prestige and influence as well the role of media objects (the web site, the apps that support learning...) in peer-to-peer relationships. I recommend two readings, if you are not familiar with SNA concepts:
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Social networks are a growing tool of use on HRM practices, notably on recruitment and applicant's attraction. With this new way of companies to recruit, will it be easy to deal with the unbalances in the labour markets? Is it easier to find well adjusted applicants? And furthermore, are applicant's ready for this new reality?
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I guess many books are now citing that LinkedIn is the most popular recruiter site in business domain.... It is a social network. I guess from your research do you have more statistics or studies on that... I would be happy to see some solid numbers
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I mean that for some social media and social information systems, a ritual view may play some roles in facilitating the user engagement and involvement.
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I would suggest reading as follows:
Managing Enterprise Information Technology Acquisitions: Assessing Organizational Preparedness
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As part of my thesis I'll perform a qualitative content analysis of two alternative media collective's fanpages on Facebook. Right now, taking printscreens of the posts has been the best solution, but I wanted to ask if anyone knows more effective ways. Twitter's API allows for easier extraction, but I don't know any equivalents for Facebook. Thanks!
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The answers should be based on human-computer interaction and multimedia fields
They should suggest new ergonomic techniques to be used comparatively to those used by normal people
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So, you are referring for communication between people with the same disabilities , or communication among people with different disabilities ?
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1. For the analysis of the facebook page, can a researcher use data provided by a commercial social media analytics service?
2. Is there any social media analytics service which is reliable and it's data can be used as secondary data?
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Most commercial analytics publications will report on sampled data. I'd be cautious about potential biases. Instead, could you collect your own data for through Excel PowerQuery for analysis?