2026 International Conference on Artificial Intelligence and Social Network Systems

January 09-11, 2026 Hangzhou, China

Welcome to AISNS 2026

The 2026 International Conference on Artificial Intelligence and Social Network Systems (AISNS 2026), hosted by the Center for Digital Communication Studies at Zhejiang University, will be held from January 09-11, 2026, in Hangzhou, China.

In the era of digital transformation, artificial intelligence (AI) has become a driving force behind the evolution of social network systems, reshaping the way we connect, communicate, and interact. The convergence of AI and social networks presents vast opportunities for advancing intelligent algorithms, enhancing user experiences, and addressing critical challenges in data security, privacy, and ethical AI deployment.

AISNS 2026 will serve as a global forum for researchers, practitioners, and industry experts to exchange ideas, present cutting-edge research, and explore the transformative impact of AI on social network systems. The conference aims to foster interdisciplinary collaboration, spark innovation, and pave the way for more intelligent, inclusive, and secure digital ecosystems.

Join us in Hangzhou for an inspiring event that delves into the forefront of AI and social network systems, where technology and society converge to shape the next generation of digital interaction.

Important Dates

Full Paper Submission Deadline

October 10, 2025

Registration Deadline

November 14, 2025

Final Paper Submission Deadline

November 28, 2025

Conference Dates

January 09-11, 2026

Submission

All submitted papers will be peer reviewed by 2-3 experts from the committee members.  Accepted papers, following proper registration and presentation, will be included in the conference proceedings and submitted for indexing in EI Compendex and Scopus.

Call for Papers

Topics of interest include, but are not limited to:

Artificial Intelligence

  • Machine Learning and Deep Learning
  • Natural Language Processing and Understanding
  • Computer Vision and Image Processing
  • Reinforcement Learning and Autonomous Systems
  • Explainable AI and Trustworthy AI

Social Network Systems

  • Social Network Analysis and Community Detection
  • Sentiment Analysis and Opinion Mining in Social Media
  • Privacy, Security, and Trust in Social Networks
  • Misinformation Detection and Content Moderation
  • Social Influence and Information Propagation
  • AI-Powered Recommender Systems

Sponsored by

Center for Digital Communication Studies, Zhejiang University

Supported by

Zhejiang University, China

Copyright@AISNS2026

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