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

Vaccination Sentiment and Anti-Vaccination Infodemiology (66) JMIR Theme Issue: COVID-19 Special Issue (2473) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1523) Outbreak and Pandemic Preparedness and Management (1767) Infectious Diseases (non-STD/STI) (1625) Infodemiology and Infoveillance (1405) Natural Language Processing (747) Vaccination and Immunization in the Digital Age (385) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1068)

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

Eden Engel-Rebitzer   1, 2 * , BA ;   Daniel C Stokes   1, 2 * , MD, MS ;   Zachary F Meisel   2, 3, 4, 5 , MD, MPH, MSHP ;   Jonathan Purtle   6, 7 , DrPH ;   Rebecca Doyle   3, 8 , MPH ;   Alison M Buttenheim   3, 8 , PhD, MBA

1 Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Center for Emergency Care Policy and Research, Philadelphia, PA, United States

3 Leonard Davis Institute of Health Economics, Philadelphia, PA, United States

4 Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

5 Penn Injury Science Center, University of Pennsylvania, Philadelphia, PA, United States

6 Department of Public Health Policy and Management, School of Global Public Health, New York University, New York City, NY, United States

7 Global Center for Implementation Science, New York University, New York City, NY, United States

8 School of Nursing, University of Pennsylvania, Philadelphia, PA, United States

*these authors contributed equally

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