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

Bibliographic Details
Title: Community Notes vs. Related Articles: Assessing Real-World Integrated Counter-Rumor Features in Response to Different Rumor Types on Social Media.
Authors: Kankham, Sarawut1 (AUTHOR), Hou, Jian-Ren2 (AUTHOR) JeffHou@gs.ncku.edu.tw
Source: International Journal of Human-Computer Interaction. Sep2024, p1-15. 15p. 5 Illustrations.
Subject Terms: *Access to information, Social media, Attribution of news, Virtual communities, Rumor, Social types
Abstract: AbstractThe 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. [ABSTRACT FROM AUTHOR]
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Database: Business Source Complete
More Details
ISSN:10447318
DOI:10.1080/10447318.2024.2400389
Published in:International Journal of Human-Computer Interaction
Language:English