A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study

In times of uncertainty, when faced with a global emergent health concern, people place their trust in familiar websites and rely on the perceived credibility and impartiality of those digital sources above other trust factors.

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Institutions

Publication Details

Journal
JMIR Infodemiology
Published
2024-11-21
DOI
https://doi.org/10.2196/59317
Citations
1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
1.13

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article

A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study

Dawn Branley-Bell, Pam Briggs, Mark Moss, Elizabeth Sillence
1 citations
JMIR Infodemiology
Misinformation and Its Impacts
1.13
article

A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study

Dawn Branley-Bell, Pam Briggs, Mark Moss, Elizabeth Sillence
article en
1 citations

Abstract

In times of uncertainty, when faced with a global emergent health concern, people place their trust in familiar websites and rely on the perceived credibility and impartiality of those digital sources above other trust factors.

JMIR InfodemiologyVol. 5
Northumbria University (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 15%
Misinformation and Its Impacts
1.13
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