Healthcare professionals’ acts of correcting health misinformation on social media
Abstract
Background Health misinformation on social media is a public health concern, and healthcare professionals can help correct it. However, research on how they correct health misinformation on social media is rare.Objective To develop a conceptual model that demonstrates how healthcare professionals correct health misinformation on social media.Methods In-depth semi-structured interviews were conducted between January and March 2020 with 30 U.S. healthcare professionals (15 registered nurses and 15 medical doctors). Participants were recruited through purposive and snowball sampling and interviewed via mobile phone calls (using their mobile phone number) or apps (via Zoom or Skype). Interview data were analyzed using a grounded theory approach.Results This study presents a two-phased conceptual model that shows healthcare professionals' acts of correcting health misinformation on social media (e.g., Twitter and Facebook). The first phase involves acts of authentication by which healthcare professionals verify health-related social media posts to be true or not. They undergo the process of internal acts of authentication (i.e., checking the author, checking for cues, checking the topic) and, if needed, external acts of authentication (i.e., examining the author and examining the content). When social media posts are deemed to contain health misinformation, they proceed to the second phase - acts of correction. In this phase, they undergo correction preparation (i.e., reflect, reveal, relate, and respect) and correction dissemination (i.e., private priming, public priming, public rebuttal, and private rebuttal).Conclusions The study proposed a conceptual model that shows how healthcare professionals correct health misinformation on social media. The findings can guide healthcare professionals when identifying and correcting health misinformation on and off social media, and can guide health authorities when developing campaigns against health misinformation.
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The Global Quality Score (GQS) is a widely validated 5-point Likert scale originally developed for patient-facing web-based health content and subsequently validated for short-form video health content analyses.
“The Global Quality Score (GQS), a widely validated 5-point Likert scale (1 = poor to 5 = excellent) originally developed to evaluate the overall educational quality of patient-facing web-based health content and subsequently validated for use in short-form video health content analyses20–24”
The TMRS has not yet been externally validated in independent study samples, and its thresholds are interpreted as exploratory rather than definitive.
“we acknowledge that the TMRS has not yet been externally validated in independent study samples, with its thresholds interpreted as exploratory rather than definitive, and future studies are warranted to establish the external validity and predictive utility of this instrument[21,22,23].”
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Self-citation
- Authors
- Bautista, J. R., Zhang, Y., & Gwizdka, J.
- Affiliations
- The University of Texas at Austin (US)
- Corresponding author
- Bautista, John Robert
- Venue
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Published
- 2021-04
- Volume
- 148
- Pages
- 104375
- ISSN
- 1386-5056 (ISSN-L)
- OpenAlex
- W3120079110
- Cited by
- 171
- References
- 35
- Citations by year
- 2026: 27 · 2025: 46 · 2024: 35 · 2023: 24 · 2022: 26 · 2021: 13
- FWCI
- 34.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Medical Informatics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Texas at Austin
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Health › Social Media in Health Education
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- health misinformation, social media, healthcare workers, authentication, rebuttal, conceptual model, nurses, physicians, Twitter, Facebook
- MeSH terms
- Communication, Delivery of Health Care, Health Personnel, Humans, Public Health, Social Media
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