Modern Social Science Research
Modern Social Science Research. 2025; 5: (6) ; 10.12208/j.ssr.20250212 .
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澳门科技大学人文艺术学院 中国澳门
*通讯作者： 贾钊昊,单位：澳门科技大学人文艺术学院 中国澳门；
本研究旨在探究浏览社交机器人生成的谣言及其评论对大学生微信用户愤怒情绪、恐惧情绪、转发行为的影响，以及平台法律风险提示的作用。在广州大学城于2024年10月开展控制实验，通过多种渠道从不同高校招募实验对象(N=160，年龄18-26岁，女生50%)。结果表明，浏览包含情绪化评论内容的谣言会显著提升用户转发的概率，愤怒情绪和恐惧情绪在此过程中具有中介作用。此外，平台法律风险提示可以显著降低用户转发谣言的概率，尽管该因素对谣言评论、负面情绪、转发行为这三者关系的调节作用并不显著。这项研究深化了对社交机器人在大学生微信群聊中传播谣言机制的理解，并从政策制定者、社交平台、用户个人三个层面为应对人工智能所生成与传播的网络谣言提供了建议。
This study aims to explore the impact of viewing rumors and their comments generated by social bots on college students’ anger, fear, and sharing behaviors in WeChat, as well as the role of platform issued legal risk warnings. A controlled experiment was conducted in Guangzhou University Town in October 2024, recruiting participants (N=160, age 18-26, 50% female) from various universities through multiple channels. The results show that viewing rumors with emotional comments significantly increases the likelihood of users sharing them, with anger and fear serving as mediating factors in this process. Additionally, platform issued legal risk warnings can significantly reduce the likelihood of users sharing rumors, although this factor does not significantly moderate the relationship between rumor comments, negative emotions, and sharing behaviors. This study advances our understanding of how social bots spread rumors in university WeChat groups and offers suggestions for policymakers, social platforms, and individual users to address online rumors generated and disseminated by artificial intelligence.
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