信息资源管理学报2026，Vol.16Issue(1)：37-49,13.DOI:10.13365/j.jirm.2026.01.037
基于人工智能生成内容的深度伪造事件舆情信息传播干预机制研究
Research on the Intervention Mechanism of Public Opinion Information Dissemination in Deepfake Events Based on AIGC
摘要
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 strate-gy,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 signifi-cant impact on post-intervention trust.The influence of intervention strategies on perceived trust does not vary signifi-cantly across different gender types.关键词
深度伪造事件/舆情信息/干预策略/信任理论/中介模型Key words
Deepfake incidents/Public opinion information/Intervention strategies/Trust theory/Mediation model分类
信息技术与安全科学引用本文复制引用
杨洋洋..基于人工智能生成内容的深度伪造事件舆情信息传播干预机制研究[J].信息资源管理学报,2026,16(1):37-49,13.基金项目
本文系国家社会科学基金青年项目"基于人工智能生成内容的深度伪造事件舆情信息风险感知与场景治理研究"(24CTQ042)的研究成果之一.(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).) （24CTQ042）
