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

Early Results from COVID-19 Studies (371) Infodemiology and Infoveillance (1594) Theme Issue 2022: Social Media, Ethics, and COVID-19 Misinformation (45) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1959) Peer-to-Peer Support and Online Communities (833) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1156) Infoveillance and Social Listening (321) Early Results in Infodemiology and Infoveillance (111)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59687, first published .
COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source

COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source

COVID-19 Public Health Communication on X (Formerly Twitter): Cross-Sectional Study of Message Type, Sentiment, and Source

Authors of this article:

Sana Parveen1 Author Orcid Image ;   Agustin Garcia Pereira2 Author Orcid Image ;   Nathaly Garzon-Orjuela1 Author Orcid Image ;   Patricia McHugh3 Author Orcid Image ;   Aswathi Surendran4 Author Orcid Image ;   Heike Vornhagen2 Author Orcid Image ;   Akke Vellinga1 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. Galea G, Chugh R, Mainey L. Funny or risky? Humour in health-related social media. Online Journal of Communication and Media Technologies 2025;15(2):e202520 View
  2. Parveen S, Chang W, McHugh P, Vellinga A. Examining the use of different message categories to communicate AMR: a content analysis of instagram posts. Frontiers in Digital Health 2025;7 View
  3. Martínez-Martínez M, García-Rodríguez I, Bermejo-Martínez D, Marqués-Sánchez P. The History of the #Rarediseaseday Campaign in Spanish on Twitter: Longitudinal Analysis of Hashtag Use and Social Network Analysis. Applied Sciences 2025;15(19):10359 View
  4. Kong F, Jiang S, Kechen Dong R, Wu Q. A Machine Learning Approach to Analyzing Main Topics and Sentiments in YouTube’s Portrayal of HIV/AIDS in China. Journal of Health Communication 2026;31(1):1 View

Books/Policy Documents

  1. Prajapati A, Mohammadi A, Saraee M. Data Science, AI and Applications. View

Conference Proceedings

  1. Thakur N, Anderson F, Khan F, Nathan de Sa S. 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC). COVID-19 YouTube Videos in the Late Pandemic: How Faces Detected on Thumbnails and Alignment of Thumbnails with Titles and Descriptions Relate to Engagement? View