AI判断比机构和点赞更影响人们对新闻可信度的看法
AI Credibility Signals Outrank Institutions and Engagement in Shaping News Perception on Social Media
- 用1000人实验测试AI评分对新闻可信度的影响
- AI评分能显著降低立场偏见和对机构的不信任
- 适合关注AI如何改变信息传播的研究者与设计者
生成式AI内容正迅速成为网络信息生态的重要组成部分，但其对公众信任及认知判断的影响仍不清晰。我们开展了一项大规模混合设计实验（N=1,000），研究AI生成的可信度评分如何影响用户对政治新闻的感知。结果表明，AI反馈能显著调节党派偏见和对机构的不信任感，其影响程度超过传统互动信号（如点赞、分享）。这些发现揭示了生成式AI的强大说服力，提示需设计兼顾认知影响力与用户自主性的策略。
原文摘要 · Abstract (English)
AI-generated content is rapidly becoming a salient component of online information ecosystems, yet its influence on public trust and epistemic judgments remains poorly understood. We present a large-scale mixed-design experiment (N = 1,000) investigating how AI-generated credibility scores affect user perception of political news. Our results reveal that AI feedback significantly moderates partisan bias and institutional distrust, surpassing traditional engagement signals such as likes and shares. These findings demonstrate the persuasive power of generative AI and suggest a need for design strategies that balance epistemic influence with user autonomy.
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