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

JMIR Theme Issue: COVID-19 Special Issue (2461) Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Quality/Credibility of eHealth Information and Trust Issues (544) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26692, first published .
Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

Political Partisanship and Antiscience Attitudes in Online Discussions About COVID-19: Twitter Content Analysis

Authors of this article:

Ashwin Rao1 Author Orcid Image ;   Fred Morstatter1 Author Orcid Image ;   Minda Hu1 Author Orcid Image ;   Emily Chen1 Author Orcid Image ;   Keith Burghardt1 Author Orcid Image ;   Emilio Ferrara1 Author Orcid Image ;   Kristina Lerman1 Author Orcid Image
Article Authors Cited by (33) Tweetations (9) Metrics

Ashwin Rao   1 , BS ;   Fred Morstatter   1 , PhD ;   Minda Hu   1 , MS ;   Emily Chen   1 , BS ;   Keith Burghardt   1 , PhD ;   Emilio Ferrara   1 , PhD ;   Kristina Lerman   1 , PhD

1 Information Sciences Institute, University of Southern California, Marina del Rey, CA, United States

Corresponding Author:

  • Ashwin Rao, BS
  • Information Sciences Institute
  • University of Southern California
  • 4676 Admiralty Way
  • STE 1001
  • Marina del Rey, CA, 90292
  • United States
  • Phone: 1 213-505-0363
  • Email: mohanrao@usc.edu