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

Preprints (earlier versions) of this paper are available at, 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


  1. Gil de Zúñiga H, Goyanes M. Fueling civil disobedience in democracy: WhatsApp news use, political knowledge, and illegal political protest. New Media & Society 2023;25(12):3500 View
  2. Maloney E, Bleakley A, Young D, Silk K, Crowley J, Lambe J. Television News Media Consumption and Misperceptions about COVID-19 among US Populations at High Risk for Severe Health Outcomes Early in the Pandemic. Health Communication 2023;38(8):1621 View
  3. 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
  4. Gao J, Raza S, Yousaf M, Shah A, Hussain I, Malik A. How Does Digital Media Search for COVID-19 Influence Vaccine Hesitancy? Exploring the Trade-off between Google Trends, Infodemics, Conspiracy Beliefs and Religious Fatalism. Vaccines 2023;11(1):114 View
  5. AlMuammar S, Noorsaeed A, Alafif R, Kamal Y, Daghistani G. The Use of Internet and Social Media for Health Information and Its Consequences Among the Population in Saudi Arabia. Cureus 2021 View
  6. Xu Q, Mao Z, Fan K, Wang J, Wei D, Wang X, Lou X, Lin H, Wang C, Wu C. Attitude toward COVID-19 vaccines and its association with depressive symptoms in 386,924 Chinese primary school students during COVID-19 epidemic normalization. Journal of Psychosomatic Research 2022;162:111021 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):215824402211470 View
  8. Pearce K, Malhotra P. Inaccuracies andIzzat: Channel Affordances for the Consideration of Face in Misinformation Correction. Journal of Computer-Mediated Communication 2022;27(2) View
  9. Chen S, Xiao L, Kumar A. Spread of misinformation on social media: What contributes to it and how to combat it. Computers in Human Behavior 2023;141:107643 View
  10. Alfaris E, Alhazzani Y, Alkhenizan A, Irfan F, Almoneef N, Alyousefi N, Alfaris H, Alodhaibi K, Ahmed A. Assessing the Validity of Health Messages Used by the Saudi Public in WhatsApp. Patient Preference and Adherence 2023;Volume 17:67 View
  11. Abid R, Rizwan M, Veselý P, Basharat A, Tariq U, Javed A, Lakshmanna K. Social Networking Security during COVID-19: A Systematic Literature Review. Wireless Communications and Mobile Computing 2022;2022:1 View
  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
  14. Ng J, Liu S, Maini I, Pereira W, Cramer H, Moher D. Complementary, alternative, and integrative medicine-specific COVID-19 misinformation on social media: A scoping review. Integrative Medicine Research 2023;12(3):100975 View
  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