Authors: S Kankham, JR Hou
Year: 2025
Published in: International Journal of Human--Computer ..., 2025 - Taylor & Francis
Institution: National Cheng Kung University
Research Area: Social Media and Misinformation Countermeasures in HCI
Discipline: Human-Computer Interaction (HCI)
The study found that integrated counter-rumor features, such as community notes and related articles, reduce users' intentions to believe and spread social media rumors; community notes worked better for 'wish' rumors, while related articles were more effective for 'dread' rumors.
Methods: Conducted an experimental study evaluating the effects of community notes and related articles on online users' intentions to believe and spread two types of rumor tweets: wish and dread rumors.
Key Findings: Online users' intentions to believe and spread rumors on social media with and without integrated counter-rumor features (community notes and related articles).
DOI: https://www.tandfonline.com/doi/abs/10.1080/10447318.2024.2400389
Citations: 11
Sample Size: 201