Track Co-Chairs
Guoyin Jiang
Professor
jiangguoyin@uestc.edu.cn
University of Electronic Science and Technology of China
Xiaodong Feng
Associate Professor
fengxd5@sysu.edu.cn
Sun Yat-Sen University
Jing Ma
Lecturer
majing@cumtb.edu.cn
China University of Mining and Technology-Beijing
Brief Introduction
In the age of artificial intelligence, digital platforms have become the central nervous system of our global economy and society, where AI-powered algorithms are reshaping business models, labor markets, and the very nature of social connectivity. As these ecosystems of digital platforms grow in power and influence, critical questions arise concerning ethical AI, data privacy, misinformation, and algorithmic fairness. Furthermore, with the utilization of intelligent technologies like large language models (LLMs), the scope of interactive entities on digital platforms has broadened to encompass intelligent agents in addition to natural individuals and enterprises, presenting novel challenges to the governance of these platforms.
Social computing concentrates on constructing models of the intricate social interactions on platforms through social simulation methods, e.g., agent – based modeling (ABM), game theory and data computational methodologies, exploring the profound transformations driven by the convergence of human interaction and computational intelligence. Therefore, applications of data intelligence and social computing are crucial for businesses aiming to thrive in the digital era. The insights gained from empirical data or modeling can inform strategic decisions, enabling the platforms implement adaptive governance.
Thus, in this track, we seek explorations into how advanced computational methods, from network analysis, agent-based modeling to computational methodologies, can be harnessed to understand multiple collective behavior in the digital platforms, foster healthy online communities, detect harmful content, and design more human-centric platforms.
Topics
1. Data Intelligence-driven Platform Governance
2. Agent-based Model and LLM agents for Digital Platforms
3. User Behavior and Psychological Modeling of Digital Platforms
4. Algorithm/ AI Governance of Digital Platforms
5. Application of Game Theory on Digital Platforms
6. Online Review Usefulness/Helpfulness based on Multi-modal Data
7. Human and AI Interaction in Digital Platforms
8. Implications of AI-Generated Contents in Digital Platforms
9. Understanding the Digital Platform Ecosystems
10. Social network modeling and computation in Digital Platforms
Associate Editors
Xia Chen
Associate Professor
xiachen@uestc.edu.cn
University of Electronic Science and Technology of China
Liangwei Yang
Research scientist
liangwei_yang@outlook.com
Research Scientist at Salesforce Research
Julin Liu
Guest Lecturer
julin.liu@manchester.ac.uk
University of Manchester