This paper is in the following e-collection/theme issue:

Theme Issue (2020): Human Factors of the COVID-19 Outbreak (51) Outbreak and Pandemic Preparedness and Management (1714) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1513) Infodemiology and Infoveillance (1333) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1031) Infectious Diseases (non-STD/STI) (1557) Mass Media/Social Media Communication and Campaigns (458) Quality/Credibility of eHealth Information and Trust Issues (522) Health Services in Resource-Poor Settings and LMICs (405)

Published on in Vol 8, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23279, first published .
Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries: Observational Infodemiology Study

Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries: Observational Infodemiology Study

Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries: Observational Infodemiology Study

Authors of this article:

Meeyoung Cha1, 2 Author Orcid Image ;   Chiyoung Cha3 Author Orcid Image ;   Karandeep Singh2 Author Orcid Image ;   Gabriel Lima1, 2 Author Orcid Image ;   Yong-Yeol Ahn4, 5, 6 Author Orcid Image ;   Juhi Kulshrestha7 Author Orcid Image ;   Onur Varol8 Author Orcid Image
Article Authors Cited by (24) Tweetations (19) Metrics

Journals

  1. Park S, Han S, Kim J, Molaie M, Vu H, Singh K, Han J, Lee W, Cha M. COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication. Journal of Medical Internet Research 2021;23(3):e23272 View
  2. Balakrishnan V, Ng W, Soo M, Han G, Lee C. Infodemic and fake news – A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review. International Journal of Disaster Risk Reduction 2022;78:103144 View
  3. Xu D, Li J, Lee Y. Predicting Publics’ Compliance with Containment Measures at the Early Stages of COVID-19: The Role of Governmental Transparent Communication and Public Cynicism. International Journal of Strategic Communication 2022;16(3):364 View
  4. Balakrishnan V, Abdul Rahman L, Tan J, Lee Y. COVID-19 fake news among the general population: motives, sociodemographic, attitude/behavior and impacts – a systematic review. Online Information Review 2023;47(5):944 View
  5. Caliskan C, Kilicaslan A. Varieties of corona news: a cross-national study on the foundations of online misinformation production during the COVID-19 pandemic. Journal of Computational Social Science 2023;6(1):191 View
  6. Chen Q, Zhang Y, Evans R, Min C. Why Do Citizens Share COVID-19 Fact-Checks Posted by Chinese Government Social Media Accounts? The Elaboration Likelihood Model. International Journal of Environmental Research and Public Health 2021;18(19):10058 View
  7. Malik A, Bashir F, Mahmood K. Antecedents and Consequences of Misinformation Sharing Behavior among Adults on Social Media during COVID-19. Sage Open 2023;13(1) View
  8. Lima G, Han J, Cha M. Others Are to Blame: Whom People Consider Responsible for Online Misinformation. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1 View
  9. Reisz D, Crișan I. Perspectives on Mass Media and Governmental Measures during the 2020 COVID-19 Pandemic in a Romanian Sample of Healthcare Practitioners. Healthcare 2022;10(2):191 View
  10. Liu H. Official social media and its impact on public behavior during the first wave of COVID-19 in China. BMC Public Health 2022;22(1) View
  11. Stewart R, Madonsela A, Tshabalala N, Etale L, Theunissen N. The importance of social media users’ responses in tackling digital COVID-19 misinformation in Africa. DIGITAL HEALTH 2022;8:205520762210850 View
  12. Lee S, Tandoc E, Lee E. Social media may hinder learning about science; social media's role in learning about COVID-19. Computers in Human Behavior 2023;138:107487 View
  13. Kolluri N, Liu Y, Murthy D. COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic. JMIR Infodemiology 2022;2(2):e38756 View
  14. Lee J, Choi J, Britt R. Social Media as Risk-Attenuation and Misinformation-Amplification Station: How Social Media Interaction Affects Misperceptions about COVID-19. Health Communication 2023;38(6):1232 View
  15. Southwell B, Otero Machuca J, Cherry S, Burnside M, Barrett N. Health Misinformation Exposure and Health Disparities: Observations and Opportunities. Annual Review of Public Health 2023;44(1):113 View
  16. Komendantova N, Erokhin D, Albano T. Misinformation and Its Impact on Contested Policy Issues: The Example of Migration Discourses. Societies 2023;13(7):168 View
  17. Zhao X, Horoszko U, Murphy A, Taylor B, Lamuda P, Pollack H, Schneider J, Taxman F. Openness to change among COVID misinformation endorsers: Associations with social demographic characteristics and information source usage. Social Science & Medicine 2023;335:116233 View
  18. So J, Shim M, Song H. Diffusion of COVID-19 misinformation: Mechanisms for threat- and efficacy-related misinformation diffusion. Computers in Human Behavior 2023;149:107967 View
  19. Seckin O, Atalay A, Otenen E, Duygu U, Varol O. Mechanisms Driving Online Vaccine Debate During the COVID-19 Pandemic. Social Media + Society 2024;10(1) View
  20. Quadra M, Schäfer A, Maciel E, Vargas B, Schlemper L, Petry S, Meller F. Infodemic and sources of information about COVID-19 in a Brazilian population: what are the associated factors?. Journal of Communication in Healthcare 2024:1 View
  21. Byrne P, Daly A, Mac Loughlin D, Madden C, Mc Donnell T, O'Connell C, Pope J, Saif-Ur-Rahman K, Taneri P, Tierney M, Toomey E, Devane D. iHealthFacts: a health fact-checking website for the public. BMJ Evidence-Based Medicine 2024:bmjebm-2023-112611 View
  22. Strehlow M, Johnston J, Aluri K, Prober C, Acker P, Patil A, Mahadevan A, Mahadevan S. Evaluation of a massive open online course for just-in-time training of healthcare workers. Frontiers in Public Health 2024;12 View

Books/Policy Documents

  1. Garcia-Tan N, Tan N. COVID-19 in Dermatology. View
  2. Siani A. The Landscape of Global Health Inequity. View