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

Vaccination Sentiment and Anti-Vaccination Infodemiology (34) JMIR Theme Issue: COVID-19 Special Issue (2169) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (865) Infodemiology and Infoveillance (1049) Infectious Diseases (non-STD/STI) (1255) Outbreak and Pandemic Preparedness and Management (1493) Mass Media/Social Media Communication and Campaigns (404) COVID-19 Vaccination (100) Vaccination and Immunization in the Digital Age (279)

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 Jiang 1 Author Orcid Image ;   Tsz Hang Chu 1 Author Orcid Image ;   Mengru Sun 2 Author Orcid Image
Article Authors Cited by (11) Tweetations (11) 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, HK

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

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
  • HK
  • Phone: 852 034429332
  • Email: crystal.jiang@cityu.edu.hk