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

Infodemiology and Infoveillance (1005) JMIR Theme Issue: COVID-19 Special Issue (2089) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1273) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (822) Outbreak and Pandemic Preparedness and Management (1455)

Published on in Vol 22 , No 12 (2020) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24425, first published .
COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study

COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study

COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study

Authors of this article:

Elaine Okanyene Nsoesie 1 Author Orcid Image ;   Nina Cesare 2 Author Orcid Image ;   Martin Müller 3 Author Orcid Image ;   Al Ozonoff 4 Author Orcid Image
Article Authors Cited by (21) Tweetations (9) Metrics

Journals

  1. Zanville N, Cohen B, Gray T, Phillips J, Linder L, Starkweather A, Yeager K, Cooley M. The Oncology Nursing Society Rapid Review and Research Priorities for Cancer Care in the Context of COVID-19. Oncology Nursing Forum 2021;48(2):131 View
  2. Bressler M, Grudnikoff E, Bressler Y, Tamez R, Zampella J. Risks and Benefits of Using Social Media in Dermatology: Cross-sectional Questionnaire Study. JMIR Dermatology 2021;4(1):e24737 View
  3. Nsoesie E, Oladeji O, Abah A, Ndeffo-Mbah M. Forecasting influenza-like illness trends in Cameroon using Google Search Data. Scientific Reports 2021;11(1) View
  4. Brigo F, Ponzano M, Sormani M, Clerico M, Abbadessa G, Cossu G, Trojsi F, Colucci F, Tortorella C, Miele G, Spina E, Artusi C, Carmisciano L, Servillo G, Bozzali M, Sparaco M, Leocani L, Lanzillo R, Tedeschi G, Bonavita S, Lavorgna L. Digital work engagement among Italian neurologists. Therapeutic Advances in Chronic Disease 2021;12:204062232110296 View
  5. Alshahrani R, Babour A. An Infodemiology and Infoveillance Study on COVID-19: Analysis of Twitter and Google Trends. Sustainability 2021;13(15):8528 View
  6. Purnat T, Vacca P, Czerniak C, Ball S, Burzo S, Zecchin T, Wright A, Bezbaruah S, Tanggol F, Dubé È, Labbé F, Dionne M, Lamichhane J, Mahajan A, Briand S, Nguyen T. Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations. JMIR Infodemiology 2021;1(1):e30971 View
  7. Keselman A, Arnott Smith C, Leroy G, Kaufman D. Factors Influencing Willingness to Share Health Misinformation Videos on the Internet: Web-Based Survey. Journal of Medical Internet Research 2021;23(12):e30323 View
  8. Effenberger M, Kronbichler A, Bettac E, Grabherr F, Grander C, Adolph T, Mayer G, Zoller H, Perco P, Tilg H. Using Infodemiology Metrics to Assess Public Interest in Liver Transplantation: Google Trends Analysis. Journal of Medical Internet Research 2021;23(8):e21656 View
  9. Matthes J, Corbu N, Jin S, Theocharis Y, Schemer C, van Aelst P, Strömbäck J, Koc-Michalska K, Esser F, Aalberg T, Cardenal A, Castro L, de Vreese C, Hopmann D, Sheafer T, Splendore S, Stanyer J, Stępińska A, Štětka V, Zoizner A. Perceived prevalence of misinformation fuels worries about COVID-19: a cross-country, multi-method investigation. Information, Communication & Society 2022:1 View
  10. Akinyemi J, Agunbiade M, Salawu M, Eniade O, Yaya S, Fawole O. Perceptions of COVID-19 transmission risk and testing readiness in rural Southwest Nigeria. Scientific African 2022;17:e01334 View
  11. An L, Russell D, Mihalcea R, Bacon E, Huffman S, Resnicow K. Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study. JMIR Infodemiology 2021;1(1):e32127 View
  12. Charbonneau E, Mellouli S, Chouikh A, Couture L, Desroches S. The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets. JMIR Infodemiology 2022;2(2):e38573 View
  13. Nshakira-Rukundo E, Whitehead A. Changing perceptions about COVID-19 risk and adherence to preventive strategies in Uganda: Evidence from an online mixed-methods survey.. Scientific African 2021;14:e01049 View
  14. León B, Martínez-Costa M, Salaverría R, López-Goñi I, Park C. Health and science-related disinformation on COVID-19: A content analysis of hoaxes identified by fact-checkers in Spain. PLOS ONE 2022;17(4):e0265995 View
  15. Gruzd A, Mai P, Soares F. How coordinated link sharing behavior and partisans’ narrative framing fan the spread of COVID-19 misinformation and conspiracy theories. Social Network Analysis and Mining 2022;12(1) View
  16. 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
  17. Xue B, Wu Y, Zheng X, Xue Y, Dong F, Xiao S, Yin M, Wang M, Liu Y, Zhang C. Effects of information sources on public preventive behaviors in health emergencies: Evidence from a digital epidemiologic study during the COVID-19 pandemic. Frontiers in Public Health 2022;10 View
  18. Cheatham S, Kummervold P, Parisi L, Lanfranchi B, Croci I, Comunello F, Rota M, Filia A, Tozzi A, Rizzo C, Gesualdo F. Understanding the vaccine stance of Italian tweets and addressing language changes through the COVID-19 pandemic: Development and validation of a machine learning model. Frontiers in Public Health 2022;10 View
  19. Auerbach J, Forsyth A, Davey C, Hargreaves J. Living with COVID-19 and preparing for future pandemics: revisiting lessons from the HIV pandemic. The Lancet HIV 2023;10(1):e62 View