Large Language Models (LLMs) technology has emerged as a prominent trend, demonstrating considerable potential for application in domains such as human-computer interaction, computational psychology, advertising and marketing, and social networks. The present special issue has been conceived with the aim of providing a comprehensive overview of the latest advancements, methodologies, and practical experiences in the field of large language models as they relate to social computing. The scope of this special issue encompasses, but is not limited to, the following subjects:

• LLMs-enabled affective computing, affective quantification and computational psychology
• LLMs-enabled human-computer interaction, behavioral analysis and multi-agent systems
• LLMs-enabled counselling using psychological and computational approaches
• LLMs-enabled bio-computing and electrocardiography computing
• LLMs-enabled making algorithms and graph computing and applications
• LLMs enable smart learning, smart education methods, and applications
• LLMs-enabled consumer psychology computing, interactive modelling and strategic decision-making
• Research and applications of multimodal large language models

All manuscripts submitted to the special issue will be subjected to peer review. Prospective authors should submit an electronic copy of their completed manuscript to https://mc03.manuscriptcentral.com/jsc-tup with “Special Issue on LLMs for Social Computing” as article type.

Important Date

Manuscript Due: August 31, 2027

Guest Editor

Dr. Feng Liu

School of Psychology, Shanghai Jiao Tong University, China

E-mail: feng@sjtu.edu.cn