With the rapid development of digital technologies, the amount of social data generated by online social media, e-commerce platforms, and other digital platforms is increasing rapidly. Computational social psychology has emerged as a new research paradigm that combines social psychology and computer science to investigate social phenomena using computational methods. This approach provides new opportunities for understanding human behavior in the digital age and provides insights into how social interactions and behavior can be analyzed using big data and machine learning algorithms.
The Special Session Computational Social Psychology in Post Covid-19 Period welcomes submissions related to computational social psychology. We invite papers that address the following topics:
- Social influence and network analysis: Papers that investigate the role of social influence in shaping human behavior, and the use of network analysis methods to identify patterns of influence in social networks.
- Sentiment analysis and opinion mining: Papers that explore the use of computational methods to analyze social media data to understand people's attitudes and opinions towards various topics.
- Human-computer interaction: Papers that investigate the ways in which technology can be used to facilitate social interactions and influence human behavior.
- Privacy and security: Papers that address the ethical and legal considerations surrounding the collection and use of social data, and the implications of these issues for social behavior and decision-making.
- Social media and online communities: Papers that examine the ways in which social media and online communities affect social behavior, and the use of computational methods to analyze these interactions.
We welcome both theoretical and empirical papers that use a range of computational methods, including machine learning, data mining, natural language processing, and network analysis. We encourage submissions from interdisciplinary researchers, including social psychologists, computer scientists, and data scientists. Submissions will be reviewed by a panel of experts in both social psychology and computational methods.
We look forward to your submissions and to an engaging and informative conference that advances our understanding of the intersection between social behavior and computation.
- Special Session Papers Submission: 15 July 2023
- Acceptance Notification: 15 September 2023
- Author Registration: 1 October 2023
- Camera-Ready Submission: 1 October 2023
Paper submission instruction
Paper submission system is available at: https://easychair.org/conferences/?conf=besc2023.
All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity.
- All submissions should use IEEE two-column style. Templates are available from here.
- All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts special session papers (6 pages).
- The page count above excludes the references.
- Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review.
- Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings.
- Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.
- Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work.
- Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing).
Hao Chen, Department of Social Psychology, Nankai University, China