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

Infodemiology and Infoveillance (1565) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1924) Mass Media/Social Media Communication and Campaigns (577) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1142) mHealth for Data Collection and Research (1207) Infectious Diseases (non-STD/STI) (1728) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1543)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48491, first published .
News Coverage of the COVID-19 Pandemic on Social Media and the Public’s Negative Emotions: Computational Study

News Coverage of the COVID-19 Pandemic on Social Media and the Public’s Negative Emotions: Computational Study

News Coverage of the COVID-19 Pandemic on Social Media and the Public’s Negative Emotions: Computational Study

Authors of this article:

Hanjing Wang1 Author Orcid Image ;   Yupeng Li2 Author Orcid Image ;   Xuan Ning3 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Journals

  1. Li J, Wong J, Au D, Chen Y, Lao Y, Zhang M. The impact of social media reports on nurses’ job satisfaction: A cross-section suvery. Computers in Human Behavior Reports 2024;16:100529 View
  2. Jovanović O, Gagić D, Radaković T, Barišić M, Vulić Š. Discussions on education in Serbia during the COVID-19 lockdown: A twitter-based analysis. Psiholoska istrazivanja 2025;28(1):57 View
  3. Li H, Liu Z, Zhang Z, Ping L, Gu W, Yao Y. Public Medical Appeals and Government Online Responses: Big Data Analysis Based on Chinese Digital Governance Platforms. Journal of Medical Internet Research 2025;27:e70087 View