Community notes vs. related articles: Assessing real-world integrated counter-rumor features in response to different rumor types on social media
Authors: S Kankham, JR Hou
Published: 2025
Publication: International Journal of Human--Computer ..., 2025 - Taylor & Francis
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).
Limitations: Findings may lack generalizability beyond the sample size; effectiveness of features could vary across platforms or cultural contexts.
Institution: National Cheng Kung University
Research Area: Social Media and Misinformation Countermeasures in HCI
Discipline: Human-Computer Interaction (HCI)
Sample Size: 201 participants
Citations: 11
DOI: https://www.tandfonline.com/doi/abs/10.1080/10447318.2024.2400389