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

Infodemiology and Infoveillance (1349) JMIR Theme Issue: COVID-19 Special Issue (2452) COVID-19 Vaccination (146) Vaccination and Immunization in the Digital Age (374) Parent and Caregiver Education and Behavior Change for Vaccination (74) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Mass Media/Social Media Communication and Campaigns (461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30715, first published .
Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach

Authors of this article:

Chen Luo1, 2 Author Orcid Image ;   Kaiyuan Ji1 Author Orcid Image ;   Yulong Tang3 Author Orcid Image ;   Zhiyuan Du1 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Chen Luo   1, 2 * , MA ;   Kaiyuan Ji   1 * , MA ;   Yulong Tang   3 , MA ;   Zhiyuan Du   1 , BE

1 School of Journalism and Communication, Tsinghua University, Beijing, China

2 The Faculty of International Media, Communication University of China, Beijing, China

3 Institute of Communication Studies, Communication University of China, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Yulong Tang, MA
  • Institute of Communication Studies
  • Communication University of China
  • No 1 Dingfuzhuang East Street, Chaoyang District
  • Beijing, 100024
  • China
  • Phone: 86 13217810927
  • Email: longbao0927@163.com