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

Infoveillance and Social Listening (434) Natural Language Processing (1326) Public Health Informatics (572) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1423) Behavioural Surveillance for Public Health (505) Early Results from COVID-19 Studies (463) Surveillance Methods in Population and Public Health (145)

Published on in Vol 6 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/98319, first published .
Woman views CDC tweet about vaccines and public response topics on laptop

Identifying Public Response Topics to the Centers for Disease Control and Prevention’s COVID-19 Communications on Social Media: Infoveillance Study Using Large Language Model–Based Rephrasing

Identifying Public Response Topics to the Centers for Disease Control and Prevention’s COVID-19 Communications on Social Media: Infoveillance Study Using Large Language Model–Based Rephrasing

Authors of this article:

Wangjiaxuan Xin1 Author Orcid Image ;   Shuhua Yin2 Author Orcid Image ;   Albert Park3 Author Orcid Image ;   Yaorong Ge4 Author Orcid Image ;   Shi Chen2, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Wangjiaxuan Xin   1 , MSc ;   Shuhua Yin   2 , PhD ;   Albert Park   3 , PhD ;   Yaorong Ge   4 , PhD ;   Shi Chen   2, 4 , PhD

1 College of Computing and Informatics, The University of North Carolina at Charlotte, Charlotte, NC, United States

2 Department of Public Health and Health Administration, The University of North Carolina at Charlotte, Charlotte, NC, United States

3 School of Health Information Science, University of Victoria, Victoria, BC, Canada

4 School of Data Science, The University of North Carolina at Charlotte, Charlotte, NC, United States

Corresponding Author:

  • Wangjiaxuan Xin, MSc
  • College of Computing and Informatics
  • The University of North Carolina at Charlotte
  • 9201 University City Blvd
  • Charlotte, NC 28223
  • United States
  • Email: wxin@charlotte.edu