Health Misinformation on Social Media and Its Effects on Health Decisions: A Structured Narrative Review and Public Health Implications
Keywords:
health literacy, health communication, misinformation, social media, decision making, public healthAbstract
Background: Social media are a common source of health information, but they also facilitate the spread of false, misleading, or decontextualized content. Health misinformation can alter risk perception, weaken trust, and affect decisions such as vaccination, healthcare seeking, or adherence to recommendations.
Objective: To critically synthesize recent evidence on the effects of health misinformation disseminated through social media on beliefs, trust, sharing intentions, and health decisions, and to identify communication strategies to mitigate its impact.
Methods: A structured narrative review was conducted. The search, updated through August 29, 2026, prioritized PubMed and indexed scientific sources, supplemented by reference tracking and international documents. Experimental and observational studies and campaign evaluations addressing misinformation exposure, credibility, trust, sharing behavior, behavioral intentions, and corrective interventions were selected. A thematic synthesis and qualitative critical appraisal were performed.
Results: Fourteen primary studies published between 2020 and 2026 were included. Exposure or greater susceptibility to misinformation was associated with greater acceptance of false claims and, in several studies, with lower adherence to recommendations or vaccination intention. Refutations, accuracy reminders, warning labels, balanced social cues, and prebunking showed favorable effects, which were more consistent for beliefs and sharing decisions than for sustained health behaviors.
Conclusions: Health misinformation is an important informational determinant of public health. Effective responses require fact-checking, social listening, media literacy, audience segmentation, cultural adaptation, and campaign evaluation.
References
1. World Health Organization. Infodemic [Internet]. Geneva: WHO; [citado 20 Sep 2026]. Disponible en: https://www.who.int/health-topics/infodemic
2. World Health Organization. Disinformation and public health [Internet]. Geneva: WHO; 2024 Feb 6 [citado 20 Sep 2026]. Disponible en: https://www.who.int/news-room/questions-and-answers/item/disinformation-and-public-health
3. Loomba S, de Figueiredo A, Piatek SJ, de Graaf K, Larson HJ. Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nat Hum Behav. 2021;5(3):337-348. doi:10.1038/s41562-021-01056-1.
4. Roozenbeek J, Schneider CR, Dryhurst S, Kerr J, Freeman ALJ, Recchia G, et al. Susceptibility to misinformation about COVID-19 around the world. R Soc Open Sci. 2020;7(10):201199. doi:10.1098/rsos.201199.
5. Schmid P, Bauer H. Impact of exposure to health misinformation on belief in health misinformation: a meta-analysis of RCTs. Health Commun. 2026;41(5):877-887. doi:10.1080/10410236.2025.2536772.
6. Xue X, Ma H, Zhao YC, Zhu Q, Song S. Mitigating the influence of message features on health misinformation sharing intention in social media: experimental evidence for accuracy-nudge intervention. Soc Sci Med. 2024;356:117136. doi:10.1016/j.socscimed.2024.117136.
7. Pennycook G, McPhetres J, Zhang Y, Lu JG, Rand DG. Fighting COVID-19 misinformation on social media: experimental evidence for a scalable accuracy-nudge intervention. Psychol Sci. 2020;31(7):770-780. doi:10.1177/0956797620939054.
8. Schmid P, Betsch C. Benefits and pitfalls of debunking interventions to counter mRNA vaccination misinformation during the COVID-19 pandemic. Sci Commun. 2022;44(5):531-558. doi:10.1177/10755470221129608.
9. Keikha L, Shahraki-Mohammadi A, Nabiolahi A. Strategies and prerequisites for combating health misinformation on social media: a systematic review. BMC Public Health. 2026;26:139. doi:10.1186/s12889-025-25858-4.
10. World Health Organization. Social listening in infodemic management for public health emergencies: guidance on ethical considerations. Geneva: WHO; 2025. ISBN:9789240108202.
11. Andrade EL, Abroms LC, González AI, Favetto C, Gomez V, Díaz-Ramírez M, et al. Assessing Brigada Digital de Salud audience reach and engagement: a digital community health worker model to address COVID-19 misinformation in Spanish on social media. Vaccines (Basel). 2023;11(8):1346. doi:10.3390/vaccines11081346.
12. Riggle-van Schagen C, Andrade EL, Chandarana S, Lu N, González A, Favetto C, et al. Assessing changes in COVID-19 vaccine uptake and intentions among the Brigada Digital Latino social media audience: a repeated cross-sectional study. BMC Digit Health. 2024;2:72. doi:10.1186/s44247-024-00131-7.
13. Verdugo León É, Rodríguez-Hidalgo C. Periodistas y desinformación sobre COVID-19 desde el punto de vista médico-científico. Estudio de caso en Azuay, Ecuador. Contratexto. 2024;(41):24-45. doi:10.26439/contratexto2024.n41.6675.
14. Featherstone JD, Zhang J. Feeling angry: the effects of vaccine misinformation and refutational messages on negative emotions and vaccination attitude. J Health Commun. 2020;25(9):692-702. doi:10.1080/10810730.2020.1838671.
15. Buller DB, Pagoto S, Walkosz BJ, Woodall WG, Berteletti J, Kinsey A, et al. The process of responding to COVID-19 misinformation in a social media feed. J Public Health Manag Pract. 2023;29(4):E124-E127. doi:10.1097/PHH.0000000000001679.
16. Jones CM, Diethei D, Schöning J, Shrestha R, Jahnel T, Schüz B. Impact of social reference cues on misinformation sharing on social media: series of experimental studies. J Med Internet Res. 2023;25:e45583. doi:10.2196/45583.
17. Xiao X, Borah P, Lee DKL, Su Y, Kim S. A story is better told with collective interests: an experimental examination of misinformation correction during the COVID-19 pandemic. Am J Health Promot. 2023;37(7):915-923. doi:10.1177/08901171231184075.
18. Jheng YL, Van de Cruys S, De Brabandere L, Maertens K, Poels K. Strategies to correct vaccine misinformation on social media for pregnant women and the impact of vaccine skepticism. Sci Rep. 2025;15(1):15216. doi:10.1038/s41598-025-98709-2.
19. Fujimoto K, Tanaka Y, Inuzuka M. Joint effect of accuracy nudge and warning label interventions on intention to share COVID-19 misinformation. Health Commun. 2026;41(2):255-266. doi:10.1080/10410236.2025.2507676.
20. Chou S, Boman CD. Increasing prebunking effectiveness to aid disinformation-susceptible publics in overcoming vaccine-related disinformation. Vaccine. 2026;86:128749. doi:10.1016/j.vaccine.2026.128749.
21. Zhang B. When narrative correction is delivered by AI: testing the effects of narrative correction and AI fact-checking on debunking health misinformation. J Health Commun. 2026 Aug 3:1-11. doi:10.1080/10810730.2026.2712995.
22. Orellana-Manzano A, Garcia-Angulo A, Quinto F, Munizaga MG, Matías De la Cruz C, Cordeiro FB, et al. COVID-19 vaccination campaign, knowledge, and trust in Duran, Ecuador: a cross-sectional study. Vaccine. 2026;72:127867. doi:10.1016/j.vaccine.2025.127867.
Additional Files
Published
Data Availability Statement
The extraction matrix, search strategies, and selection decisions are available for access and reviewupon request to the corresponding author: sgabypared@gmail.com
Issue
Section
Categories
License
Copyright (c) 2026 Camila Anahi Paredes Benítez (Autor/a)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant AHRIE – Applied Health Research, Innovation & Education the right of first publication.
Articles are distributed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits sharing and adaptation for any purpose, including commercial use, provided that appropriate credit is given to the authors and the original publication, a link to the license is provided, and any changes made are indicated.