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What are the possibilities of applying generative AI in terms of conducting sentiment analysis of changes in Internet users' opinions on specific topics?
What are the possibilities of applying generative artificial intelligence in carrying out sentiment analysis on changes in the opinions of Internet users on specific topics using Big Data Analytics and other technologies typical of Industry 4.0/5.0?
Nowadays, Internet marketing is developing rapidly, including viral Internet marketing used on social media sites, among others, in the form of, for example, Real-Time marketing in the formula of viral marketing. It is also marketing aimed at precisely defined groups, audience segments, potential customers of a specific advertised product and/or service offering. In terms of improving Internet marketing, new ICT information technologies and Industry 4.0/5.0 are being implemented. Marketing conducted in this form is usually preceded by market research conducted using, among other things, sentiment analysis of the preferences of potential consumers based on verification of their activity on the Internet, taking into account comments written on various websites, Internet forums, blogs, posts written on social media. In recent years, the importance of the aforementioned sentiment analysis carried out on large data sets using Big Data Analytics has been growing, thanks to which it is possible to study the psychological aspects of the phenomena of changes in the trends of certain processes in the markets for products, services, factor markets and financial markets. The development of the aforementioned analytics makes it possible to study the determinants of specific phenomena occurring in the markets caused by changes in consumer or investor preferences, caused by specific changes in the behavior of consumers in product and service markets, entrepreneurs in factor markets or investors in money and capital markets, including securities markets. The results from these analyses are used to forecast changes in the behavior of consumers, entrepreneurs and investors that will occur in the following months and quarters. In addition to this, sentiment analyses are also conducted to determine the preferences, awareness of potential customers, consumers in terms of recognition of the company's brand, its offerings, description of certain products and services, etc., using textual data derived from comments, entries, posts, etc. posted by Internet users, including social media users on a wide variety of websites. The knowledge gained in this way can be useful for companies to plan marketing strategies, to change the product and service offerings produced, to select or change specific distribution channels, after-sales services, etc. This is now a rapidly developing field of research and the possibilities for many companies and enterprises to use the results of this research in marketing activities, but not only in marketing. Recently, opportunities are emerging to apply generative artificial intelligence and other Industry 4.0/5.0 technologies to analyze large data sets collected on Big Data Analytics platforms. In connection with the development of intelligent chatbots available on the Internet, recently there have been discussions about the possibilities of potential applications of generative artificial intelligence, 5G and other technologies included in the Industry 4.0/5.0 group in the context of using the information resources of the Internet to collect data on citizens, companies, institutions, etc. for their analysis carried out using, among other things, sentiment analysis to determine the opinion of Internet users on certain topics or to define the brand recognition of a company, the evaluation of product or service offerings by Internet users. In recent years, the scope of applications of Big Data technology and Data Science analytics, Data Analytics in economics, finance and management of organizations, including enterprises, financial and public institutions is increasing. Accordingly, the implementation of analytical instruments of advanced processing of large data sets in enterprises, financial and public institutions, i.e. the construction of Big Data Analytics platforms to support organizational management processes in various aspects of operations, including the improvement of customer relations, is also growing in importance. In recent years, ICT information technologies, Industry 4.0/5.0 including generative artificial intelligence technologies are particularly rapidly developing and finding application in knowledge-based economies. These technologies are used in scientific research and business applications in commercially operating enterprises and in financial and public institutions. In recent years, the application of generative artificial intelligence technologies for collecting and multi-criteria analysis of Internet data can significantly contribute to the improvement of sentiment analysis of Internet users' opinions and the possibility of expanding the applications of research techniques carried out on analytical platforms of Business Intelligence, Big Data Analytics, Data Science and other research techniques using ICT information technology, Internet and advanced data processing typical Industry 4. 0/5.0. Most consumers of online information services available on new online media, including social media portals, are not fully aware of the level of risk of sharing information about themselves on these portals and the use of this data by technological online companies using this data for their analytics. I am conducting research on this issue. I have included the conclusions of my research in scientific publications, which are available on Research Gate. I invite you to cooperate with me.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the possibilities for the application of generative AI in terms of conducting sentiment analysis of changes in the opinions of Internet users on specific topics using Big Data Analytics and other technologies typical of Industry 4.0/5.0?
What are the possibilities of using generative AI in conducting sentiment analysis of Internet users' opinions on specific topics?
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,
I have 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
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.
Dariusz Prokopowicz
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In today's digital age, the internet has become a breeding ground for opinions and sentiments on various topics. With the advent of Industry 4.0/5.0 technologies, such as big data analytics and generative AI, there are endless possibilities for conducting sentiment analysis on changes in the opinions of internet users.
Generative AI, powered by machine learning algorithms, can analyze vast amounts of data to identify patterns and trends in user sentiments. By leveraging big data analytics, this technology can sift through massive datasets to extract valuable insights regarding specific topics. This allows businesses and organizations to understand public opinion better and make informed decisions based on these sentiments.
One significant advantage of using generative AI for sentiment analysis is its ability to adapt and evolve with changing opinions. As public sentiment fluctuates over time, traditional methods may struggle to keep up with these changes. However, generative AI can continuously learn from new data inputs and adjust its analysis accordingly.
Furthermore, the application of generative AI in sentiment analysis can provide real-time insights into public opinion. This is particularly useful during times of crisis or when monitoring social trends that impact businesses or governments. By analyzing social media posts, online reviews, and other forms of user-generated content in real-time, generative AI can help identify emerging sentiments before they become mainstream.
However, it is important to note that while generative AI offers immense potential for sentiment analysis on specific topics using big data analytics within Industry 4.0/5.0 technologies, ethical considerations must be taken into account as well. Privacy concerns surrounding the collection and use of personal data must be addressed transparently to ensure trust between users and technology providers.
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How to create a system of digital, universal tagging of various kinds of works, texts, photos, publications, graphics, videos, etc. made by artificial intelligence and not by humans?
How to create a system of digital, universal labelling of different types of works, texts, texts, photos, publications, graphics, videos, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification .... etc. should be different for what is the product of artificial intelligence?
Two days earlier, in an earlier post, I started a discussion on the question of the necessity of improving the security of the development of artificial intelligence technology and asked the following questions: how should the system of institutional control of the development of advanced artificial intelligence models and algorithms be structured, so that this development does not get out of control and lead to negative consequences that are currently difficult to foresee? Should the development of artificial intelligence be subject to control? And if so, who should exercise this control? How should an institutional system for controlling the development of artificial intelligence applications be built? Why are the creators of leading technology companies developing ICT, Internet technologies, Industry 4.0, including those developing artificial intelligence technologies, etc. now calling for the development of this technology to be periodically, deliberately slowed down, so that the development of artificial intelligence technology is fully under control and does not get out of hand? On the other hand, while continuing my reflections on the indispensability of improving the security of the development of artificial intelligence technology, analysing the potential risks of the dynamic and uncontrolled development of this technology, I hereby propose to continue my deliberations on this issue and invite you to participate in a discussion aimed at identifying the key determinants of building an institutional control system for the development of artificial intelligence, including the development of advanced models composed of algorithms similar or more advanced to the ChatGPT 4.0 system developed by the OpenAI company and available on the Internet. It is necessary to normatively regulate a number of issues related to artificial intelligence, both the issue of developing advanced models composed of algorithms that form artificial intelligence systems; posting these technological solutions in open access on the Internet; enabling these systems to carry out the process of self-improvement through automated learning of new content, knowledge, information, abilities, etc.; building an institutional system of control over the development of artificial intelligence technology and current and future applications of this technology in various fields of activity of people, companies, enterprises, institutions, etc. operating in different sectors of the economy. Recently, realistic-looking photos of well-known, highly recognisable people, including politicians, presidents of states in unusual situations, which were created by artificial intelligence, have appeared on the Internet on online social media sites. What has already appeared on the Internet as a kind of 'free creativity' of artificial intelligence, creativity both in terms of the creation of 'fictitious facts' in descriptions of events that never happened, in descriptions created as an answer to a question posed for the ChatGPT system, and in terms of photographs of 'fictitious events', already indicates the potentially enormous scale of disinformation currently developing on the Internet, and this is thanks to the artificial intelligence systems whose products of 'free creativity' find their way onto the Internet. With the help of artificial intelligence, in addition to texts containing descriptions of 'fictitious facts', photographs depicting 'fictitious events', it is also possible to create films depicting 'fictitious events' in cinematic terms. All of these creations of 'free creation' by artificial intelligence can be posted on social media and, in the formula of viral marketing, can spread rapidly on the Internet and can thus be a source of serious disinformation realised potentially on a large scale. Dangerous opportunities have therefore arisen for the use of technology to generate disinformation about, for example, a competitor company, enterprise, institution, organisation or individual. Within the framework of building an institutional control system for the development of artificial intelligence technology, it is necessary to take into account the issue of creating a digital, universal marking system for the various types of works, texts, photos, publications, graphics, films, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification ..., should be different for what is the product of artificial intelligence. It is therefore necessary to create a system of digital, universal labelling of the various types of works, texts, photos, publications, graphics, videos, etc., made by artificial intelligence and not by humans. The only issue for discussion is therefore how this should be done.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How to create a system for the digital, universal marking of different types of works, texts, photos, publications, graphics, videos, innovations, patents, etc. made by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification .... etc. should be different for what is the product of artificial intelligence?
How to create a system of digital, universal labelling of different types of works, texts, photos, publications, graphics, videos, etc. made by artificial intelligence and not by humans?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Some technological companies offering various Internet services have already announced the creation of a system for digital marking of creations, works, works, studies, etc. created by artificial intelligence. Probably, these companies have already noticed that in this field it is possible to create certain standards for digital marking of creations, works, elaborations, etc. created by artificial intelligence, and this can be another factor of competition and market advantage.
And what is your opinion about it?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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Internet technology companies that created and developed social media portals have built their business model on specific forms of online marketing.
One of these forms is online viral marketing. In this form of marketing there is still a lot of potential.
However, in the future, the rate of dynamic development of these portals based on marketing activities may significantly decrease.
As a result, the companies that run these portals expand the offer of their information and marketing services.
One of the forms of expanding the activities of these technology companies is, for example, the development of additional services and development towards fin tech.
In view of the above, the current question is: Is online viral marketing the main determinant of the dynamic development of social media portals?
Please, answer, comments. I invite you to the discussion.
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Yes, this discussion essentially confirms the crucial thesis that viral marketing is one of the leading types of internet marketing developed on social media.
Best regards,
Dariusz Prokopowicz
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In my opinion, digital marketing is currently developing faster compared to classic marketing. This is related to the development of new online media. In these new media, social media portals in which new marketing techniques have been developed have developed particularly dynamically in recent years. New types of spots, banners and advertising films are created primarily for the needs of their broadcasting on social media portals.
In these new online media, in such social media portals as: YouTube, Facebook, Tweeter, LinkedIn, Instagram, Google+, Pinterest, Snapchat and others, these advertising campaigns are developing particularly quickly, which are based on a viral marketin in which they engage socially users of these portals themselves. This type of advertising campaign does not have to be high-budget while being very effective.
The combination in an advertising campaign conducted on social media portals and based on viral marketing - low budget and high efficiency - can be achieved in the situation of creating innovative spots, banners and advertising films. These innovations include those that are actually advertising films, despite the fact that they are made in such a way that the users watching them think that they are not just advertisements, news, information films, interviews, presentations, etc., which are supposedly advertised are not. However, in the field of classic advertising instruments, i.e. those that operate outside of the Internet, in the recent years there have been comparatively many new marketing techniques in the field of digital marketing.
In view of the above, the current question is: What are the main determinants of the faster development of digital marketing techniques compared to classic marketing?
Please, answer, comments
I invite you to the discussion
Thank you very much
Best wishes
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ADAPTING TO THE TECHNOLOGICAL SHIFT
KNOWLEDGE UPGRADATION
PERIODIC TEAM ASSESSMENT
FOCUS ON RETURN ON INVESTMENT (ROI)
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Topic: Viral marketing in social network, data mining, influence maximization, computer network, big data, network optimization, influence maximization
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Elsevier list, go to View More on Journal Insights, it shows the list of information like, Review Speed, impact factor. See the Review speed and submit article based on review speed.
Hope this would be helpful.
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Dear All,
I am trying to classify the drivers of motivation (intrinsic and extrinsic factors) which compels the consumer to participate in the viral marketing in social networking sites. Please give suggestion for good literature on this.
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As with all related questions to why or when consumers respond to marketing offers or actions, I don't think there exists a more profound model than Morris Holbrook's Typology of Customer Value. Notably, he also uses extrinsic and intrinsic motivations, but also self-oriented/other-oriented as well as active/reactive types of value.
The logic is indeed straightforward and compelling: consumer respond if the experience value, and knowing which types of value exist helps understand the myriad ways that can link marketing actions with consumer response. Holbrook has published a ton on this, including a demanding-yet-inspiring book chapter in 1994 and a book in 1999.
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I believe that the development of social media portals may contribute to many positive social aspects in, for example, the dissemination of information about socially important social problems as a new form of social campaigns carried out through viral marketing with the key participation of Internet users.
In addition, social media perfectly fit in, correlate with the development of the information society. In addition, social media portals support:
- development of participative, civic society,
- dissemination of consumer information, i.e. strengthen highly competitive market structures by enabling consumers to quickly and cheaply share experience with using newly purchased products and services,
- development of spontaneously organized movements and social enterprises,
- creating informal organizations referring to clusters, associations, associations for various social campaigns created and run by users of social media portals, i.e. non-formalized organizations with a flattened organizational structure.
In line with the above, the development of social media portals generates new, large opportunities for the development of information society, civic society, well-informed consumers and informed, socially organized citizens. In this regard, social media portals generate great potential for the development of civic society, so much potential that even governments of some countries are afraid of it and try to impose censorship on certain content on the Internet. Writing this previous sentence, I am referring only to countries with political systems organized as specific forms of dictatorship and full media control, but also some countries considered free in terms of freedom of speech, freedom of the media, etc.
In view of the above, the current questions is: Does the development of social media portals strengthen the development of civic societies?
Please, answer, comments. I invite you to the discussion.
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As with most technology, social media portals are not inherently good or bad - it is how we use them that matter the most. Skills of digital and information literacy are key in determining the validity and accuracy of information conveyed through social media, and the role of governments and platform owners in assuring an appropriate governance and regulatory regime is also paramount. Social media portals can strengthen democracy and provide a forum for civic discourse and participation; but they can also provide a conduit for the dissemination of misinformation and misinformed propaganda.
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Digital marketing
Online marketing
Social marketing
Viral marketing
Branding
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Thank you mam for your reply
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This can be seen in many disciplines under different terminology. I need to get get as much ideas as possible. Feel free to let me know how it is handled in realms closer to your research. For instance
  • Sociophysics: Opinion formation on social networks 
  • Marketing: viral marketing 
  • Microfinance : Diffusion models to study the influential individuals, etc...
In brief the idea is: given a network, if we need to drive an idea, which node (or agent) we should select. All your comments are highly appreciated. Thank you in advance.
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You need to evaluate authority and hub centrality.  
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I am interested in this topic but a little confused between these two terms.
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Viral Marketing campaigns are usually run, managed and controlled by a company to spread message about its product/ service/offering. They are corporate managed affairs.
Whereas, e-word-of-mouth is an informal and inorganic way of spreading information among the consumer group where they share their personal opinion about their experiences with the product/ offerings where company has little or no role to play. These are usually voluntarily created by consumers.
The former is the controllable medium in terms of information and content shared while the later is consumer dominated and therefore, uncontrollable for the firm. Word-of-mouth marketing has an echo affect..
The other way of looking at them can be means and ends model i.e., Viral Marketing is the end while the eWOM is the means through which the message is diffused among the consumer.