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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) Infodemiology and Infoveillance (1269) JMIR Theme Issue: COVID-19 Special Issue (2388) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Quality/Credibility of eHealth Information and Trust Issues (485) Information Quality in Digital Media (316) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Outbreak and Pandemic Preparedness and Management (1673)

Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19858, first published .
Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study

Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study

Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study

Authors of this article:

Jay Amol Bapaye1, 2 Author Orcid Image ;   Harsh Amol Bapaye2, 3 Author Orcid Image
Article Authors Cited by (24) Tweetations (19) Metrics

Journals

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  12. Tan E, Wee R, Saw Y, Heng K, Chin J, Tong E, Liu J. Tracking Private WhatsApp Discourse About COVID-19 in Singapore: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2021;23(12):e34218 View
  13. Anthonysamy L, Sivakumar P. A new digital literacy framework to mitigate misinformation in social media infodemic. Global Knowledge, Memory and Communication 2022 View
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  15. Ochi S, Mirai S, Hashimoto S, Hashimoto Y, Sekizawa Y, Asweto C. Impact of the COVID-19 pandemic on exercise habits and overweight status in Japan: A nation-wide panel survey. PLOS Global Public Health 2023;3(7):e0001732 View
  16. McGarry P, Shortland N, Anastasio N, Palmieri M. The Behavioral Inhibition System and Engagement With, and Influence By, COVID-19 and Election-Based Misinformation. Journal of Interpersonal Violence 2024;39(1-2):133 View
  17. Wu Y, Brennan-Ing M. Information Consumption, Trust Dynamics and COVID-19 Vaccine Hesitancy among Older Adults: Implications for Health Messaging. Vaccines 2023;11(11):1668 View
  18. Shan Y, Ji M. Factors associated with COVID-19 misinformation rebuttal among college students: a descriptive study. Frontiers in Public Health 2023;11 View
  19. Terry K, Yang F, Yao Q, Liu C. The role of social media in public health crises caused by infectious disease: a scoping review. BMJ Global Health 2023;8(12):e013515 View
  20. Alsaad E, AlDossary S. Educational Video Intervention to Improve Health Misinformation Identification on WhatsApp Among Saudi Arabian Population: Pre-Post Intervention Study. JMIR Formative Research 2024;8:e50211 View
  21. Babbage C, Wagner H, Dowthwaite L, Portillo V, Perez E, Fischer J. Exploring individual's public trust in the NHS Test and Trace System – A pragmatic reflexive thematic analysis. Internet Interventions 2024;36:100740 View
  22. Kurata K. Behind Every Good Lie Is a Grain of Truth. Journal of Information Policy 2024;14 View
  23. Masele J. Misinformation and COVID-19 vaccine uptake hesitancy among frontline workers in Tanzania: Do demographic variables matter?. Human Vaccines & Immunotherapeutics 2024;20(1) View
  24. 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