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

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
  23. Christina E, Setiawan D, Juwita D, Lianawati . Knowledge and Perception on Overclaim against the Behaviors of Implementing the COVID-19 Prevention Protocol Communities in Indonesia. JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA 2022;9(3):314 View
  24. Efstratiou A, Efstratiou M, Yudhoatmojo S, Blackburn J, De Cristofaro E. "Here's Your Evidence": False Consensus in Public Twitter Discussions of COVID-19 Science. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 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