Understanding how users identify health misinformation in short videos: an integrated analysis using PLS-SEM and fsQCA

The findings highlight three distinct ways users process health misinformation in short videos, including primarily analytical evaluation, peripheral reliance on content cues, and peripheral reliance on cognitive cues. These results suggest practical strategies for mitigating health misinformation on short-video platforms, emphasizing interventions at individual, platform, and policy levels.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-12-08
DOI
https://doi.org/10.3389/fpubh.2025.1713794
Citations
2
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
8.40
Controls
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article

Understanding how users identify health misinformation in short videos: an integrated analysis using PLS-SEM and fsQCA

Hui‐Wen Yang, Xing Zhai, Ruojia Wang, Yue Wang
2 citations
Frontiers in Public Health
Misinformation and Its Impacts
8.40
article

Understanding how users identify health misinformation in short videos: an integrated analysis using PLS-SEM and fsQCA

Hui‐Wen Yang, Xing Zhai, Ruojia Wang, Yue Wang
article en
2 citations

Abstract

The findings highlight three distinct ways users process health misinformation in short videos, including primarily analytical evaluation, peripheral reliance on content cues, and peripheral reliance on cognitive cues. These results suggest practical strategies for mitigating health misinformation on short-video platforms, emphasizing interventions at individual, platform, and policy levels.

Frontiers in Public HealthVol. 13
Beijing University of Chinese Medicine (CN)
Openalex Percentile: Top 2%
Misinformation and Its Impacts
8.40
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