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

Infodemic Management (38) JMIR Theme Issue: COVID-19 Special Issue (2243) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1386) Outbreak and Pandemic Preparedness and Management (1530) Infectious Diseases (non-STD/STI) (1289) Infodemiology and Infoveillance (1128) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (924) Mass Media/Social Media Communication and Campaigns (406) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (32)

Published on in Vol 2 , No 1 (2022) :Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33827, first published .
Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media

Authors of this article:

Ehsan Mohammadi 1 Author Orcid Image ;   Iman Tahamtan 2 Author Orcid Image ;   Yazdan Mansourian 3 Author Orcid Image ;   Holly Overton 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

Journals

  1. Tahamtan I, Potnis D, Mohammadi E, Singh V, Miller L. The Mutual Influence of the World Health Organization (WHO) and Twitter Users During COVID-19: Network Agenda-Setting Analysis. Journal of Medical Internet Research 2022;24(4):e34321 View
  2. Su Y, Li S, Huang F, Xue J, Zhu T. Exploring the Influencing Factors of COVID-19 Vaccination Willingness among Young Adults in China. International Journal of Environmental Research and Public Health 2023;20(5):3960 View
  3. Myneni S, Cuccaro P, Montgomery S, Pakanati V, Tang J, Singh T, Dominguez O, Cohen T, Reininger B, Savas L, Fernandez M. Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science. JMIR Infodemiology 2023;3:e40156 View
  4. Isip Tan I, Cleofas J, Solano G, Pillejera J, Catapang J. Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study (Preprint). JMIR Formative Research 2022 View