ArticleDigital health
Fact-checking of health information on social networking sites: The moderating role of gender.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Perceived cognitive slowing and online health information seeking among older adults: motivational beliefs as pathways and community IT culture as a buffer.Frontiers in public health · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aims to explore the factors related to fact-checking health information and the moderating role of gender on the effects of explored factors. Based on social cognitive theory (SCT) and social role theory (SRT), we established a research model to explore the factors of fact-checking on health information and the role of gender. Methods: To validate the research model, data were collected by survey method and analyzed by partial least squares technique. Results: The analysis results present that personal factors (self-efficacy and outcome expectancy), and environmental factors (perceived skepticism and perceived ambiguity) have significant impacts on fact-checking about health information. Meanwhile, our results reveal that gender moderates the effects of outcome expectancy, perceived skepticism, and perceived ambiguity on users' fact-checking. Conclusion: Our study uses SCT to explore the factors impacting fact-checking, while we combine it with SRT to understand the gender differences in the process of fact-checking health information in social networking sites.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.