Social Computing - Science topic

In the Age of Multimedia and Social Networks, the proliferation of user-generated data has been nothing short of meteoric. This wealth of information necessitates careful analysis and processing to truly comprehend the subjective perceptions of users. At the intersection of this data-driven revolution, two critical fields emerge: Sentiment Analysis...

Large Language Models (LLMs), like ChatGPT, are fundamentally tools trained on vast data, reflecting diverse societal impressions. This paper aims to investigate LLMs' self-perceived bias concerning indigeneity when simulating scenarios of indigenous people performing various roles. Through generating and analyzing multiple scenarios, this work off...

The development of automated, unobtrusive measurement of pro-social indicators such as trust, empathy, liking and altruistic tendency in daily interactions is an unsolved problem in designing intelligent agents that socially interact with people. This work puts forward and tests a model for using emotional mimicry (matching of emotional displays/ex...

Web annotation environments are widely used in education based on the premise that student interaction in these environments benefits individual and group learning. However, there is little research on factors driving student interaction in web annotation activities. In this study we asked: What dynamics could explain social interaction among stude...

This study aimed to know the digital transformation performance status in a public insurance and guarantee company in Indonesia and to predict factors affecting the performance. The authors developed the research model by adopting the information system (IS) success model, institutional and contextual constructs, and trust constructs, combining the...

Vehicular social networking is an emerging application of the Internet of Vehicles (IoV) which aims to achieve seamless integration of vehicular networks and social networks. However, the unique characteristics of vehicular networks, such as high mobility and frequent communication interruptions, make content delivery to end-users under strict dela...

Publishing and sharing content through software has become a regular part of Social Computing today[the term Social Computing is used in the sense defined in Wikipedia (Social computing-Wikipedia, n.d.)]. This paper shows how we can achieve social cohesion despite varied software pieces working in their unique way and providing their specialized co...

Discovering causal relationships in complex socio-behavioral systems is challenging but essential for informed decision-making. We present Upload, PREprocess, Visualize, and Evaluate (UPREVE), a user-friendly web-based graphical user interface (GUI) designed to simplify the process of causal discovery. UPREVE allows users to run multiple algorithms...

The design and implementation of intelligent space, global, and healthcare arrangements have developed very essential since they automatically monitor both the surroundings and the individuals in it to offer support and facilities. Furthermost offer additional provision for the physical aspects of people at the cost of emotional aspects. For that r...

Screenshots are ubiquitous in mobile computing, yet poorly understood. This paper advances our understanding of reasons for capturing, storing, and sharing screenshots. A crowdsourced user study was conducted where 52 participants shared personal screenshots from their phones, alongside textual reasons for why they were captured. Using mixed method...

The emergence of Large Language Models (LLMs) has brought both excitement and concerns to social computing research. On the one hand, LLMs offer unprecedented capabilities in analyzing vast amounts of textual data and generating human-like responses, enabling researchers to delve into complex social phenomena. On the other hand, concerns are emergi...

Ray tracing remains of interest to Computer Graphics community with its elegant framing of how light interacts with objects, being able to easily support multiple light sources, and simple framework of merging synthetic and real cameras. Recent trends to provide implementations at the chip-level means raytracing’s constant quest of realism would pr...

The Middle East and North Africa (MENA) region has an active gaming community, with Arab gamers being reliant on games produced in Europe, America, and Japan due to the lack of significant game production companies in the MENA region. This study explores the gamers' reactions to the localization process of two video games, namely PUBG and Free Fire...

The majority of music consumption nowadays takes place on music streaming platforms. Whichever artists, albums, or songs are exposed to consumers on these platforms therefore greatly influences what music is ultimately consumed. As a result, the impact of these platforms on artists-their main item providers-is considerable. The recommender systems...

This work proposes a methodology for a sounder assessment of centrality, some of the most important concepts of network science, in the context of voting networks, which can be established in various situations from politics to online surveys. In this regard, the network nodes can represent members of a parliament, and each edge weight aims to be a...

Smart grids are typically modelled as cyber–physical power systems, with limited consideration given to the social aspects. Specifically, traditional power system studies tend to overlook the behaviour of stakeholders, such as end‐users. However, the impact of end‐users and their behaviour on power system operation and response to disturbances is s...

Social computing is considered part of computer science, which studies the interaction of social behavior with computing systems. It is designed to create, maintain and recreate social conventions and social contexts using various programs and technologies. In this article, the level of use of the social network in various cities of Uzbekistan and...

Ubiquitous computing encapsulates the idea for technology to be interwoven into the fabric of everyday life. As computing blends into everyday physical artifacts, powerful opportunities open up for social connection. Prior connected media objects span a broad spectrum of design combinations. Such diversity suggests that people have varying needs an...

Following the well-known concepts of computerization and informatization, a rising technology of cyberization, which is considered a reformation of the existing bodily, social and intellectual worlds, has become a hotly mentioned fashion within the new cyber global. Cyberization refers to using conversation and pc technology to interconnect compute...

In order to be able to better manage the production and life of urban residents, it is necessary to continuously optimize the public management model, and this paper proposes the establishment of a public management path for POI social computing. Build a computing system that can communicate with multiple computing units so that public management g...

Siblings play a crucial and long-lasting role in family connections and relationships. However, with the older sibling transitioning out of their parental home, maintaining a close sibling relationship can be challenging, especially if siblings have a large age difference. We conducted a diary and interview study with nine families in China which h...

Postpartum depression (PPD) is one of the most prevalent mental health disorders following childbirth. Mothers utilize social media and online forums throughout postpartum to seek mental health support. In this paper, we aim to gain a comprehensive understanding of the topics of naturally occurring online discussions and the online social support d...

The release of ChatGPT has uncovered a range of possibilities whereby large language models (LLMs) can substitute human intelligence. In this paper, we seek to understand whether ChatGPT has the potential to reproduce human-generated label annotations in social computing tasks. Such an achievement could significantly reduce the cost and complexity...

The fairness of human‐related software has become critical with its widespread use in our daily lives, where life‐changing decisions are made. However, with the use of these systems, many erroneous results emerged. Technologies have started to be developed to tackle unexpected results. As for the solution to the issue, companies generally focus on...

Upon its arrival, the Ethereum blockchain promised to introduce a new paradigm of Internet-based applications that would revolutionize multiple fields, from finance to IoT to the public sector. Until now, scientific efforts have been primarily focused on theoretical discussions about the implications of the technology and on technical proposals to...

Participatory Design (PD) aims to promote inclusivity by involving users throughout the design process. However, Human-Computer Interaction (HCI) and social computing research have pointed to instances where PD as practiced can, paradoxically, be exclusive. We aim to understand some of the challenges that could lead to exclusivity in order to desig...

Social computing refers to the use of computing technology to facilitate social interactions and collaboration among people. It encompasses a wide range of technologies and applications, including social networking sites, online forums and discussion boards, blogs, wikis, social bookmarking, and social media platforms. Social computing allows indi...

For improving the performance and effectiveness of peer review, a novel review system is proposed, based on analysis of peer review process for academic journals under a parallel model built via Monte Carlo method. The model can simulate the review, application, and acceptance activities of the review systems, in a distributed manner. Simulation ex...

Special Issue: Advances in Ambient Intelligence and Social Computing under #uncertainty and indeterminacy: From Theory to Applications The goal of this special issue is to bring together the most up-to-date research on the methodologies, techniques, and applications of ambient intelligence and social computing, including but not limited to intelli...

Background: The optimal treatment for gender dysphoria is medical intervention, but many transgender and nonbinary people face significant treatment barriers when seeking help for gender dysphoria. When untreated, gender dysphoria is associated with depression, anxiety, suicidality, and substance misuse. Technology-delivered interventions for tran...

One important aspect of effective human-robot collaborations is the ability for robots to adapt quickly to the needs of humans. While techniques like deep reinforcement learning have demonstrated success as sophisticated tools for learning robot policies, the fluency of human-robot collaborations is often limited by these policies' inability to int...

The rapid adoption of online social media platforms has transformed the way of communication and interaction. On these platforms, discussions in the form of trending topics provide a glimpse of events happening around the world in real-time. Also, these trends are used for political campaigns, public awareness, and brand promotions. Consequently, t...

Infant drowning has occurred frequently in swimming pools recent years, which motivates the research on automatic real-time detection of the accident. Unlike youths or adults, swimming infants are small in terms of size and motion range, and unable to send out distress signals in emergencies, which exerts negative effects on the detection of drowni...

How to cultivate innovative talents has become an important educational issue nowadays. In China's long-term mentorship education environment, supervisor-student relationship often affects students' creativity. From the perspective of students' psychology, we explore the influence mechanism of supervisor-student relationship on creativity by machin...

Prior studies have shown the importance of classroom dialogue in academic performance, through which knowledge construction and social interaction among students take place. However, most of them were based on small scale or qualitative data, and few has explored the availability and potential of big data collected from online classrooms. To addres...

The automatic evaluation of the teaching effect has been a technical problem for many years. Because only video frames are available for it, and the information extraction from such dynamic scenes still remains challenging. In recent years, the progress of deep learning has boosted the application of computer vision in many areas, which can provide...

Social and ubiquitous computing opens up many opportunities to engage citizens in activities that benefit their communities. Technology is ready and available, but there are still open issues concerning how to engage people in activities that are not extrinsically rewarding or whose impact is not immediately perceived. In this paper, we explore the...

The social or human actions in the IoT platform derive the new paradigm in the IoT environment called the Social Internet of Things (SIoT). The Social Internet of Things is that part of an IoT capable of establishing social relationships with other objects concerning humans. SIoT attempts to moderate IoT challenges in scalability, trust, and resour...

El siguiente artículo propone una reflexión a partir de dos frentes de acción sobre el Análisis Cultural (Cultural Analytics) en Educación: por un lado, caracterizar las bases teóricas; y por otro, analizar las bases metodológicas. El análisis cultural se concibe como un campo capaz de generar estudios complejos a partir de conjuntos de datos cultu...

The methodology of social computing is based on social science theory as a guide, and combines big data and artificial intelligence algorithms to solve social problems. In this paper, five types of research that integrate big data and social science theories are extracted from a large amount of literature: exploratory research based on big data, co...

MSMEs are entrepreneurship growth channels whose existence is recognized as the backbone of national economic development. However, not all MSMEs use technological developments in their business processes. Weak individual skills and expertise as a result of weak mastery of Science and Technology (IPTEK) in a general sense and technological mastery...

The COVID-19 pandemic has severely harmed every aspect of our daily lives, resulting in a slew of social problems. Therefore, it is critical to accurately assess the current state of community functionality and resilience under this pandemic for successful recovery. To this end, various types of social sensing tools, such as tweeting and publicly r...

Online medical crowdfunding (OMC) has attracted massive attention and participation in China. Despite its goal to lift the financial burden caused by expensive medical expenditure, little has been done to evaluate its impact on healthcare inequality. We examine the social consequences of OMC based on a large random sample extracted from one of the...

During the past decades, the term "social computing" has become a promising interdisciplinary area in the intersection of computer science and social science. In this work, we conduct a data-driven study to understand the development of social computing using the data collected from DBLP (Digital Bibliography and Library Project), a representative...

Automated decision-making systems are being increasingly deployed and affect the public in a multitude of positive and negative ways. Governmental and private institutions use these systems to process information according to certain human-devised rules in order to address social problems or organizational challenges. Both research and real-world e...

Social networks allow people to connect with each other and express their thoughts, opinions and emotions, sharing content in different forms (documents, photos, videos, etc.). This implies a pervasive use of social networks that makes available very large amounts of data on conversations, text, audio and video (i.e., multimodal data) that are sig...

A central challenge of social computing research is to enable people to communicate expressively with each other remotely. Augmented reality has great promise for expressive communication since it enables communication beyond texts and photos and towards immersive experiences rendered in recipients' physical environments. Little research, however,...

Understanding one’s own behavior is challenging in itself; understanding a group of different individuals and the many relationships between these individuals is even more complex. Imagine the amazing complexity of a large system made up of thousands of individuals and hundreds of groups, with countless relationships between those individuals and g...

Technology-enhanced peer feedback (TEPF) activity has been increasingly investigated in L2 writing education. Researchers have conducted many review and meta-analysis studies on related research and identified factors influencing the activity effectiveness. However, few reviews have been conducted based on the activity theory that may clarify detai...

Gardening is an activity that involves a number of dimensions of increasing interest to HCI and CSCW researchers, including recreation, sustainability, and engagement with nature. This paper considers the garden setting in order to understand the role that collaborative and social computing technologies might play for practitioners engaging in outd...

Although informal online learning communities have proliferated over the last two decades, a fundamental question remains: What are the users of these communities expected to learn? Guided by the work of Etienne Wenger on communities of practice, we identify three distinct types of learning goals common to online informal learning communities: the...

Industry 4.0 focuses on the realization of smart manufacturing based on cyber-physical systems (CPS). However, emerging Industry 5.0 and Society 5.0 reaches beyond CPS and covers the entire value chain of manufacturing, and faces economic, environmental, and social challenges. To meet such challenges, we regard Industry 5.0 as a socio-technical rev...

Social computing software and online tools are gaining credence in teaching and learning spaces, including higher education contexts. However, the adoption of social computing software does not automatically translate into effective teaching and learning if students' views and needs are not considered along with course learning outcomes. Thus, this...

The usability of the events information on social media has been widely studied recently. Several surveys have reviewed the specific type of events on social media using various techniques. Most of the existing methods for event detection are segregated as they approach certain situations that limit the overall details of events happening consecuti...

Perkembangan teknologi informasi khususnya teknologi web mengalami perkembangan sangat pesat seiring dengan itu pemerintah kota Palembang memanfaatkanya dengan memberikan layanan elektronik atau egovernment kepada masyarakat, namun tidak seluruh lapisan masyarakat merasakan layanan tersebut, sehingga tujuan egovernment belum tercapai untuk itu dipe...

Background: Recent advancements in large language models have motivated the practical use of such models in code generation and program synthesis. However, little is known about the effects of such tools on code readability and visual attention in practice. Objective: In this paper, we focus on GitHub Copilot to address the issues of readability an...

The epidemic has led to the transfer of many design classes from of-fline to online. 30 design students were recruited, and we compared their performance on collaborative innovation tasks in both online and offline modes. Functional near-infrared spectroscopy (fNIRS) was used to collect signals from the subjects' prefrontal cortex (PFC), temporal-p...

span>This paper aims to give a systematic review on how Social Network Analysis (SNA) Applied in the psychology field of study. Research questions are used to analyse the dataset of journal articles and conference papers collected from IEEE Xplore. 50 papers gathered after applying the advance search of “Social Network Analysis” AND "Psychology" OR...

Social media is more and more dominant in everyday life for people around the world. YouTube content is a resource that may be useful, in social computational science, for understanding key questions about society. Using this resource, we performed web scraping to create a dataset of 644,575 video transcriptions concerning net activism and whistleb...

Several datasets of stories and text have been proven useful for a variety of research fields. Yet, many of these datasets have suffered from the burden of being manually authored and/or annotated, affecting their size and potential to grow. To overcome this problem, we propose a novel database of stories collected from TaleMaker, an online multipl...

Occupational data mining and analysis is an important task in understanding today’s industry and job market. Various machine learning techniques are proposed and gradually deployed to improve companies’ operations for upstream tasks, such as employee churn prediction, career trajectory modelling and automated interview. Job titles analysis and embe...

In trying to explain why Hong Kong of China ranks highest in life expectancy in the world, we review what various experts are hypothesizing, and how data science methods may be used to provide more evidence-based conclusions. While more data become available, we find some data analysis studies were too simplistic, while others too overwhelming in a...

With the gradual application of central bank digital currency (CBDC) in China, it brings new payment methods, but also potentially derives new money laundering paths. Two typical application scenarios of CBDC are considered, namely the anonymous transaction scenario and real-name transaction scenario. First, starting from the interaction network of...

The CSCW community has a history of designing, implementing, and evaluating novel social interactions in technology, but the process requires significant technical effort for uncertain value. We discuss the opportunities and applications of "piggyback prototyping", building and evaluating new ideas for social computing on top of existing ones, expa...

Social computing prototypes probe the social behaviors that may arise in an envisioned system design. This prototyping practice is currently limited to recruiting small groups of people. Unfortunately, many challenges do not arise until a system is populated at a larger scale. Can a designer understand how a social system might behave when populate...

Gender-based violence (GBV) has been plaguing our society for long back. The severity of GBV has spurred research around understanding the causes and factors leading to GBV. Understanding factors and causes leading to GBV is helpful in planning and executing efficient policies to curb GBV. Past researches have claimed a country’s culture to be one...

Many of humanity's most pressing and challenging problems-such as environmental degradation, physical and economic security, and public health-are inherently complex (involve many different interacting components) as well as widely impactful (effect many diverse stakeholders). Solving such problems requires crowd-scale deliberation in order to cove...

Personality-aware recommendation systems have been proven to achieve high accuracy compared to conventional recommendation systems. In addition to that, personality-aware recommendation systems could help alleviate cold start and data sparsity problems by adding the user’s personality traits in the recommendation process. The majority of the litera...