Social Computing

This book constitutes the refereed post-conference proceedings of the 6th International Conference, on Social Computing, ICSC 2025, held in Shanghai, China, during December 12–13, 2025.

The 22 full papers included in this book were carefully reviewed and selected from 73 submissions. The papers have been organized in the following topical sections as follows: Advancements in methods for the broadly defined field of social computing; Online social network analysis, mining, and modeling; Large-scale social media analytics and intelligence; Trust, privacy, security, and fairness in social systems; Applied social computing applications in diverse areas such as health and finance; Governance, policy, ethical, and legal challenges of emergent social technologies.

.- Advancements in methods for the broadly defined field of social computing.
.- Energy-Efficient Asynchronous Federated Learning via Model Compression for Mobile Social Computing.
.- Computational Analysis of Urban Crime Concentration: Insights from Legal Big Data in China.
.- The Emergence of Shared Norms in Decentralized Networks: A Social Computing Model of Lexical Coordination.
.- Preserving Topological Information for Social Network Condensation via Knowledge Distillation.
.- BT-CNN: A Binary Tree-Convolutional Neural Network for Influential Node Identification in Complex Networks.
.- ValueLex: Revealing the Value Structures of Large Language Models.
.- Online social network analysis, mining, and modeling.
.- Accurate Source Localization via Joint Learning of Infection States and Diffusion Patterns.
.- Young AI Scientists in the New AI Age: Increasingly Early and Growing Dominance of Career Novelty in Their Research Trajectories.
.- TempoTriads: Streaming Estimation of Temporal Triadic Motifs for Social-Computing Streams.
.- Large-scale social media analytics and intelligence.
.- The Global Ecology of Chinese Language Learning on TikTok: Insights from 75,188 Videos.
.- When AI Joins the Thread: a Computational Analysis of Gendered Human-AI Interactions on Weibo.
.- Trust, privacy, security, and fairness in social systems.
.- SHIELD-SLM: A Dual-Format and Interval-Scored Framework for Small Language Model Evaluation.
.- Learning User–Resource Interactions for Dynamic Access Control based on Graph–Transformer Fusion.
.- CTP2KL: Collaborative Trajectory Protection against Knowing-and-Learning Attacks in Multiple Location-based Services.
.- Cultural Bias in Minority Language LLMs.
.- Applied social computing applications in diverse areas such as health and finance.
.- A Multi-factor Deep Hybrid Model for Road Risk Prediction.
.- IPMMO: Unifying Benchmarks and Models for Propagation Optimization.
.- Effective Bird Nest Detection based on Improved YOLOV5 with Transformer Prediction Heads.
.- Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility.
.- Governance, policy, ethical, and legal challenges of emergent social technologies.
.- Balancing Privacy and Security: An Ethical Analysis of AI-Driven Surveillance in the UAE, USA, and UK.
.- Geographic Patterns in Public Response to China’s National Childcare Subsidy: A Large-Scale Social Media Analysis.