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

JMIR Theme Issue: COVID-19 Special Issue (2388) Infodemiology and Infoveillance (1269) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Quality/Credibility of eHealth Information and Trust Issues (485) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) Outbreak and Pandemic Preparedness and Management (1673)

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 (30) Tweetations (10) Metrics

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