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

Vaccination Sentiment and Anti-Vaccination Infodemiology (62) JMIR Theme Issue: COVID-19 Special Issue (2461) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Outbreak and Pandemic Preparedness and Management (1743) Infectious Diseases (non-STD/STI) (1592) Infodemiology and Infoveillance (1369) Natural Language Processing (706) Vaccination and Immunization in the Digital Age (378) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 2, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32372, first published .
Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis

Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis

Partisan Differences in Legislators’ Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis

Authors of this article:

Eden Engel-Rebitzer1, 2 Author Orcid Image ;   Daniel C Stokes1, 2 Author Orcid Image ;   Zachary F Meisel2, 3, 4, 5 Author Orcid Image ;   Jonathan Purtle6, 7 Author Orcid Image ;   Rebecca Doyle3, 8 Author Orcid Image ;   Alison M Buttenheim3, 8 Author Orcid Image
Article Authors Cited by (6) Tweetations (18) Metrics Author Video

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