The Impact of AIGC Misinformation on User Trust and Behavior

The rapid advancement of Artificial Intelligence Generated Content (AIGC) has revolutionized information production, enabling unprecedented efficiency and creativity. However, it also facilitates the large-scale generation of highly realistic misinformation—ranging from deepfakes to fabricated news. Such misinformation spreads swiftly across digital platforms, posing serious challenges to user trust and individual decision-making. As AIGC becomes more accessible, understanding how it influences human beliefs, emotional responses, and behavioral patterns is critical for designing resilient socio-technical systems.

This session addresses an emerging interdisciplinary frontier at the intersection of behavioral science, AI ethics, and computational social science. While technical detection methods exist, the psychological and behavioral consequences of AIGC misinformation remain underexplored. Erosion of user trust can undermine online platforms, democratic processes, and mental well-being. By bringing together researchers from BESC's diverse communities, this session aims to uncover mechanisms of trust distortion, identify vulnerable user groups, and propose evidence-based interventions—essential for sustainable human-AI coexistence.

Thus, we hope to call research articles that focusing on empirical studies on how AIGC misinformation alters user trust in media, institutions, or algorithms.

The special session invites submissions addressing, but not limited to, the following areas:

  • The impact mechanism of AIGC misinformation on individual behavior
  • Behavioral experiments measuring changes in sharing, verification, or avoidance behaviors
  • Cross-cultural and demographic differences in susceptibility to AIGC misinformation
  • Psychological models of trust repair following exposure to fake AI-generated content
  • Design and evaluation of trust-enhancing nudges, warnings, or literacy interventions
  • Longitudinal impacts of repeated AIGC misinformation on online community norms
  • Risk prediction of group manipulation caused by AIGC misinformation
  • Governance Theory, Methods, and Technologies for AIGC misinformation

submission instruction

Please use the below links to download the Springer template and to submit your work.

The format of Research Papers should be suitable for original research, which is completed work at the time of submission and, regardless of the length of the paper, is a self-sufficient scientific contribution. Selected papers will be invited for submission to journals.

All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2026, originality, significance and clarity.

Please note:

  • Authors must use Springer LNCS/LNAI manuscript submission guidelines and formatting template for their submissions and each paper must be at least 6 pages and no longer than 16 pages in length (including references).
  • All papers must be submitted electronically through the paper submission system in PDF format only.
  • Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review.
  • Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings.
  • Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.
  • Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work.
  • Accepted papers will be included in the proceedings of BESC 2026 and indexed by EI Compendex, ISI, Scopus, DBLP, ACM Digital Library, Google Scholar and other A&I services.
  • Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals (TBC), including:
    • IEEE Transactions on Computational Social Systems (IEEE)
    • CCF Transactions on Pervasive Computing and Interaction (Springer)
    • EURASIP Journal on Image and Video Processing (Springer)
    • World Wide Web Journal (Springer)
    • Social Network Analysis and Mining (Springer)
    • Human-Centric Intelligent Systems (Springer)
    • ACM Transactions on Social Computing (ACM)
    • Natural Language Processing (Elsevier)
    • Health Information Science and Systems (Springer)
    • Web Intelligence (IOS Press)
  • Papers that are substantially or entirely generated by generative AI tools are not permitted. The use of generative AI as an assistive tool (e.g., for language editing) is allowed, provided that such use is clearly and explicitly disclosed in the paper. Authors remain fully responsible for the content, originality, and integrity of their submissions.

Contact

  • Prof. Lianren Wu, Guangzhou University, China (jdglwulianren[at]163.com)
  • Prof. Jinjie Li, Guangzhou University, China
Program Committee Members
  • Prof. Jiayin Qi, Guangzhou University, China
  • Prof. Qiang Yan, Beijing University of Posts and Telecommunications, China
  • Prof. Jianshan Sun, Hefei University of Technology, China
  • Prof. Yin Xie, Guangzhou University, China
  • Prof. Tong Zhang, Dalian University of Technology, China
  • Prof. Jiaqi Liu, Chinese Academy of Social Sciences, China
  • Prof. Bo Han, Chinese Academy of Social Sciences, China
  • Prof. Tao Chen, Communication University of China, China