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

Vaccination Sentiment and Anti-Vaccination Infodemiology (70) JMIR Theme Issue: COVID-19 Special Issue (2493) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087) Infodemiology and Infoveillance (1449) Infectious Diseases (non-STD/STI) (1655) Outbreak and Pandemic Preparedness and Management (1779) Mass Media/Social Media Communication and Campaigns (505) COVID-19 Vaccination (165) Vaccination and Immunization in the Digital Age (399)

Published on in Vol 1, No 1 (2021): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25636, first published .
Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

Authors of this article:

Li Crystal Jiang1 Author Orcid Image ;   Tsz Hang Chu1 Author Orcid Image ;   Mengru Sun2 Author Orcid Image
Article Authors Cited by (15) Tweetations (4) Metrics

Li Crystal Jiang   1 , PhD ;   Tsz Hang Chu   1 , MPhil ;   Mengru Sun   2 , BA

1 Department of Media and Communication, City University of Hong Kong, Hong Kong, China (Hong Kong)

2 College of Media and International Culture, Zhejiang University, Hangzhou, China

Corresponding Author:

  • Li Crystal Jiang, PhD
  • Department of Media and Communication
  • City University of Hong Kong
  • M5082, Run Run Shaw Creative Media Centre
  • 18 Tat Hong Avenue, Kowloon
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 034429332
  • Email: crystal.jiang@cityu.edu.hk