Journal of Information Resources Management ›› 2026, Vol. 16 ›› Issue (1): 37-49.doi: 10.13365/j.jirm.2026.01.037

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Research on the Intervention Mechanism of Public Opinion Information Dissemination in Deepfake Events Based on AIGC

Yang Yangyang   

  1. School of Economics & Management, Zhengzhou University of Light Industry, Zhengzhou, 450001
  • Online:2026-01-26 Published:2026-03-23
  • About author:Yang Yangyang, Ph.D., associate professor, research interests including online public opinion and information governance, Email: 2022016@zzuli.edu.cn.
  • Supported by:
    This work is one of the research results of the National Social Science Fund Youth Project "Research on Public Opinion Information Risk Perception and Scenario Governance of Deepfake Events Based on AI-Generated Content" (24CTQ042).

Abstract: Based on trust theory and the characteristics of deepfake event public opinion information generated by artificial intelligence, this paper analyzes the impact mechanism of intervention strategies on system trust, interpersonal trust, emotional trust, and cognitive trust from three types of communication intervention strategies: information strategy, responsibility strategy, and behavior strategy, with the research framework of "intervention strategy-perceived trust-post-intervention trust". The study finds that information strategy indirectly and positively affects post-intervention trust through interpersonal trust and cognitive trust, responsibility strategy indirectly and positively affects post-intervention trust through system trust and emotional trust, and behavioral strategy indirectly and positively affects post-intervention trust through system trust and interpersonal trust, while control variables (gender, age, and education) have no significant impact on post-intervention trust. The influence of intervention strategies on perceived trust does not vary significantly across different gender types.

Key words: Deepfake incidents, Public opinion information, Intervention strategies, Trust theory, Mediation model

CLC Number: