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

JMIR Theme Issue: COVID-19 Special Issue (2452) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Mass Media/Social Media Communication and Campaigns (461) Outbreak and Pandemic Preparedness and Management (1727) Innovative Methods in Public Health and Surveillance (332) Infectious Diseases (non-STD/STI) (1575) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Misinformation and Disinformation Outbreaks and Information Prevalence Studies (44) Quality/Credibility of eHealth Information and Trust Issues (531)

Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30800, first published .
Framing of and Attention to COVID-19 on Twitter: Thematic Analysis of Hashtags

Framing of and Attention to COVID-19 on Twitter: Thematic Analysis of Hashtags

Framing of and Attention to COVID-19 on Twitter: Thematic Analysis of Hashtags

Authors of this article:

Iman Tahamtan1 Author Orcid Image ;   Devendra Potnis1 Author Orcid Image ;   Ehsan Mohammadi2 Author Orcid Image ;   Laura E Miller3 Author Orcid Image ;   Vandana Singh1 Author Orcid Image
Article Authors Cited by (16) Tweetations (6) Metrics

Journals

  1. Mohammadi E, Tahamtan I, Mansourian Y, Overton H. Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media. JMIR Infodemiology 2022;2(1):e33827 View
  2. 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
  3. Aria M, Cuccurullo C, D’Aniello L, Misuraca M, Spano M. Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy. Sustainability 2022;14(6):3643 View
  4. Lookingbill V, Mohammadi E, Cai Y. Assessment of Accuracy, User Engagement, and Themes of Eating Disorder Content in Social Media Short Videos. JAMA Network Open 2023;6(4):e238897 View
  5. Kermani H. Framing the Pandemic on Persian Twitter: Gauging Networked Frames by Topic Modeling. American Behavioral Scientist 2023 View
  6. Gao C, Yi H, Wang J, Han S. Framing of female medical personnel during the COVID-19 pandemic: a case study of the Chinese official media. Humanities and Social Sciences Communications 2023;10(1) View
  7. Bartlett A, Lesch M, Golder S, McCambridge J. Alcohol policy framing in South Africa during the early stages of COVID-19: using extraordinary times to make an argument for a new normal. BMC Public Health 2023;23(1) View
  8. Ghosh S, Thajudeen J. Voices of the Stacks: A Multifaceted Inquiry into Academic Librarians' Tweets. Proceedings of the Association for Information Science and Technology 2023;60(1):166 View
  9. Deng Z, Ma R, Wu M, Evans R. Netizens' concerns during COVID-19: a topic evolution analysis of Chinese social media platforms. Kybernetes 2023 View
  10. Suarez-Lledo V, Ortega-Martin E, Carretero-Bravo J, Ramos-Fiol B, Alvarez-Galvez J. Unraveling the use of disinformation hashtags by social bots during the Covid-19 pandemic: a networks analysis and community detection (Preprint). JMIR Infodemiology 2023 View
  11. Lookingbill V, Le K. “There’s Always a Way to Get Around the Guidelines”: Nonsuicidal Self-Injury and Content Moderation on TikTok. Social Media + Society 2024;10(2) View
  12. Sisco H, Brummette J. mRNA Vaccine Hesitancy: Spreading Misinformation Through Online Narratives. Journal of Health Communication 2024;29(8):538 View
  13. Russo R, Blikstein P, Literat I. Twisted knowledge construction on X/Twitter: an analysis of constructivist sensemaking on social media leading to political radicalization. Information and Learning Sciences 2024;125(9):693 View
  14. Gholampour S, Lim W, Lund B, Noruzi A, Elahi A, Saboury A, Nawaz R, Gholampour B. Does social media contribute to research impact? An Altmetric study of highly-cited marketing research. Total Quality Management & Business Excellence 2024;35(13-14):1671 View
  15. Potnis D, Tahamtan I, McDonald L. Negative consequences of information gatekeeping through algorithmic technologies: An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology 2024 View