Projects per year
Abstract
This study investigates the effectiveness of public health institutions’ misinformation debunking on social media by examining the impact of message features—social media intermediaries, message framing, and social cues—alongside the moderating roles of political cynicism and conspiracy beliefs. We conducted preregistered survey experiments in Hong Kong, the Netherlands, and the United States (total N = 2,769). Results show that sponsored messages outperformed AI recommendations. Causal framing would backfire for the cynics (in both Hong Kong and the Netherlands). In the United States, peer-shared messages enhanced source and message evaluations among those with higher conspiracy beliefs. © 2025 AEJMC
Original language | English |
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Pages (from-to) | 1-33 |
Number of pages | 33 |
Journal | Journalism & Mass Communication Quarterly |
DOIs | |
Publication status | Online published - 14 May 2025 |
Bibliographical note
Information for this record is supplemented by the author(s) concerned.Funding
This work is supported by the General Research Fund (GRF) by the Research Grants Council (RGC) in the Hong Kong SAR (project no.: 12602420).
Research Keywords
- misinformation intervention
- debunking messages
- public policy
- global governance
- social media intermediary
- message framing
- social cues
- political cynicism
- conspiracy belief
- heuristic-systematic model
- survey experiment
Fingerprint
Dive into the research topics of 'Social Media Misinformation Wars: How Message Features, Political Cynicism, and Conspiracy Beliefs Shape Government-Led Public Health Debunking Effectiveness'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Why fact-checking fails? Factors influencing the effectiveness of corrective messages countering misinformation on social media: A comparison of Hong Kong, the United States, and the Netherlands
ZHANG, X. (Principal Investigator / Project Coordinator), PENG, T.-Q. W. (Co-Investigator), ZHU, Q. (Co-Investigator), Chen, L. (Co-Investigator) & Guo, S. (Co-Investigator)
1/09/20 → 31/08/22
Project: Research