用AI代替人工纠正假信息，能有效避免人身攻击。
Using Grok to Avoid Personal Attacks While Correcting Misinformation on X
- 用X平台的Grok AI代为纠正假信息，而非直接发言。
- 人工纠正时72%遭遇人身攻击，而AI纠正零攻击。
- 适合希望安全参与网络纠错的人群。
在公共在线空间纠正假信息常导致用户遭受敌意和人身攻击，抑制了更正行为的参与。本研究通过观察性设计，分析了5个高争议假信息主题下100条更正回复，比较了由Grok（X平台原生大模型）中介与人类直接发出的更正。主要结果是：更正发布后24小时内是否收到至少一次人身攻击。结果显示，72%的人类更正遭遇人身攻击，而所有由Grok中介的更正均未遭遇攻击。卡方检验显示两者关联具有统计显著性且效应量较大。表明使用AI中介更正可改变公开争执中的社交动态，降低人际敌意。
原文摘要 · Abstract (English)
Correcting misinformation in public online spaces often exposes users to hostility and ad hominem attacks, discouraging participation in corrective discourse. This study presents empirical evidence that invoking Grok, the native large language model on X, rather than directly confronting other users, is associated with different social responses during misinformation correction. Using an observational design, 100 correction replies across five high-conflict misinformation topics were analyzed, with corrections balanced between Grok-mediated and direct human-issued responses. The primary outcome was whether a correction received at least one ad hominem attack within a 24-hour window. Ad hominem attacks occurred in 72 percent of human-issued corrections and in none of the Grok-mediated corrections. A chi-square test confirmed a statistically significant association with a large effect size. These findings suggest that AI-mediated correction may alter the social dynamics of public disagreement by reducing interpersonal hostility during misinformation responses.
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