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

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Bibliographic Details
Title: Partisan Differences in Legislators' Discussion of Vaccination on Twitter During the COVID-19 Era: Natural Language Processing Analysis.
Authors: Engel-Rebitzer E; Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Center for Emergency Care Policy and Research Philadelphia, PA United States., Stokes DC; Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Center for Emergency Care Policy and Research Philadelphia, PA United States., Meisel ZF; Center for Emergency Care Policy and Research Philadelphia, PA United States.; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; Department of Emergency Medicine Perelman School of Medicine University of Pennsylvania Philadelphia, PA United States.; Penn Injury Science Center University of Pennsylvania Philadelphia, PA United States., Purtle J; Department of Public Health Policy and Management School of Global Public Health New York University New York City, NY United States.; Global Center for Implementation Science New York University New York City, NY United States., Doyle R; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; School of Nursing University of Pennsylvania Philadelphia, PA United States., Buttenheim AM; Leonard Davis Institute of Health Economics Philadelphia, PA United States.; School of Nursing University of Pennsylvania Philadelphia, PA United States.
Source: JMIR infodemiology [JMIR Infodemiology] 2022 Feb 18; Vol. 2 (1), pp. e32372. Date of Electronic Publication: 2022 Feb 18 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 9918249014806676 Publication Model: eCollection Cited Medium: Internet ISSN: 2564-1891 (Electronic) Linking ISSN: 25641891 NLM ISO Abbreviation: JMIR Infodemiology Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2564-1891
DOI:10.2196/32372