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Community Notes vs. Related Articles: Assessing Real-World Integrated Counter-Rumor Features in Response to Different Rumor Types on Social Media

研究成果: Article同行評審

7   連結會在新分頁中打開 引文 斯高帕斯(Scopus)

摘要

The pervasive reach of the Internet has revolutionized information access and transmission, which has contributed to the widespread dissemination of rumors on social media. This study explored the impact of real-world integrated counter-rumor features, specifically community notes (which provide context and additional information from the online community) and related articles (which link to verified news sources that address the rumor), on online users’ intentions to believe and spread rumor tweets on social media. Additionally, we investigated how these features mitigate online users’ intentions to believe and spread different types of rumor messages, including wish and dread rumors. After conducting an experimental study with 201 online users on social media, we found that the presence of integrated counter-rumor features in rumor tweets can reduce online users’ intentions to believe and spread rumors, regardless of the specific feature used. While we observed no significant differences between the effects of community notes and related articles on overall online users’ intentions, a nuanced pattern emerged when we considered wish and dread rumors. Specifically, community notes proved more effective at reducing online users’ intentions to believe and spread wish-related rumors due to the diverse perspectives and opinions within the online community. By contrast, related articles were found to have greater efficacy at mitigating online users’ intentions to believe and spread dread rumors, as they can provide more concrete information to alleviate any associated fear or anxiety. Our findings contribute theoretical and practical insights for effectively countering the spread of rumor tweets on social media platforms.

原文English
頁(從 - 到)7711-7725
頁數15
期刊International Journal of Human-Computer Interaction
41
發行號12
DOIs
出版狀態Published - 2025

All Science Journal Classification (ASJC) codes

  • 人因工程和人體工學
  • 人機介面
  • 電腦科學應用

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