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
Assistant Research Fellow
jingma@uestc.edu.cn
University of Electronic Science and Technology of China
Brief Introduction
In the current digital landscape, the explosion of data generated by various e-commerce and digital platforms offers unprecedented opportunities for analysis and insight. Data intelligence encompasses the techniques and methods, such as text mining, machine learning, and Large Language Models, used to interpret this vast amount of information, allowing businesses to understand consumer behavior and market trends at a granular level. Also, social computing, on the other hand, focuses on modeling the complex social interactions on the platforms by means of social simulation, such as agent-based models and game theory, making it possible to understand the complexity and dynamics among them. Together, these domains are pivotal in shaping the management of digital platforms.
Therefore, applications of data intelligence and social computing are crucial for businesses aiming to thrive in the digital era. The insights gained from data can inform strategic decisions, enabling companies to tailor their offerings to meet evolving consumer demands. Additionally, with the application of intelligent technologies such as large language models, the scope of interactive subjects on digital platforms has expanded to include intelligent agents beyond natural persons and enterprises, bringing new challenges to the governance of these platforms.
Thus, in this track, we seek contributions that explore the role of data intelligence and social computing in understanding digital platforms. We encourage submissions that examine empirical research, theoretical frameworks, and innovative methodologies that shed light on the future of digital platforms.
Topics
1. Data Resources Management of Digital Platforms
2. Intelligent Analysis for Digital Platforms
3. Social Computing Methodologies in Digital Platforms
4. User Behavior and Psychological Modeling of Digital Platforms
5. Algorithm or AI Governance of Digital Platforms
6. Application of LLMs or Generative Agents for Digital Platforms
7. Interaction/Competition/Cooperation between Human and AI-based agents in Digital Platforms
8. Ethical implications of AI-generated contents in Digital Platforms
9. Understanding the Digital Platform Ecosystems
10. Adaptive Governance of Digital Platforms