This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1433) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (61) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1753) Quality/Credibility of eHealth Information and Trust Issues (584) Bots and AI Approaches to Detect and Counter Misinformation (10)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65631, first published .
Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study

Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study

Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study

Authors of this article:

Hsin-Yu Kuo1 Author Orcid Image ;   Su-Yen Chen2 Author Orcid Image
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Hsin-Yu Kuo   1 * , MA ;   Su-Yen Chen   2 * , PhD

1 Department of Educational Psychology and Counseling, National Tsing Hua University, Hsinchu, Taiwan

2 Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan

*all authors contributed equally

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