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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) JMIR Theme Issue: COVID-19 Special Issue (2452) Mass Media/Social Media Communication and Campaigns (461) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Vaccination and Immunization in the Digital Age (374) Parent and Caregiver Education and Behavior Change for Vaccination (74) Quality/Credibility of eHealth Information and Trust Issues (531) Vaccination Sentiment and Anti-Vaccination Infodemiology (58) Discourse (38)

Published on in Vol 7, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32814, first published .
Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study

Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study

Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study

Authors of this article:

Jueman Zhang1 Author Orcid Image ;   Yi Wang2 Author Orcid Image ;   Molu Shi3 Author Orcid Image ;   Xiuli Wang4 Author Orcid Image
Article Authors Cited by (20) Tweetations (2) Metrics

Jueman Zhang   1 , PhD ;   Yi Wang   2 , PhD ;   Molu Shi   3 , PhD ;   Xiuli Wang   4 , PhD

1 Polk School of Communications, Long Island University, Brooklyn, NY, United States

2 Department of Communication, University of Louisville, Louisville, KY, United States

3 Independent data scientist, Louisville, KY, United States

4 School of New Media, Peking University, Beijing, China

Corresponding Author: