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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) JMIR Theme Issue: COVID-19 Special Issue (2461) Natural Language Processing (706) Outbreak and Pandemic Preparedness and Management (1743) Mass Media/Social Media Communication and Campaigns (466) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infectious Diseases (non-STD/STI) (1592) Knowledge Translation and Implementation Science (407)

Published on in Vol 7, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26720, first published .
Texas Public Agencies’ Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach

Texas Public Agencies’ Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach

Texas Public Agencies’ Tweets and Public Engagement During the COVID-19 Pandemic: Natural Language Processing Approach

Authors of this article:

Lu Tang1 Author Orcid Image ;   Wenlin Liu2 Author Orcid Image ;   Benjamin Thomas3 Author Orcid Image ;   Hong Thoai Nga Tran4 Author Orcid Image ;   Wenxue Zou1 Author Orcid Image ;   Xueying Zhang5 Author Orcid Image ;   Degui Zhi4 Author Orcid Image
Article Authors Cited by (22) Tweetations (8) Metrics

Lu Tang   1 , PhD ;   Wenlin Liu   2 , PhD ;   Benjamin Thomas   3 ;   Hong Thoai Nga Tran   4 , MSc ;   Wenxue Zou   1 , MA ;   Xueying Zhang   5 , PhD ;   Degui Zhi   4 , PhD

1 Department of Communication, Texas A&M University, College Station, TX, United States

2 Jack J Valenti School of Communication, University of Houston, Houston, TX, United States

3 Department of Computer Science, Rice University, Houston, TX, United States

4 School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, United States

5 Department of Journalism and Mass Communication, North Carolina A&T State University, Greensboro, NC, United States

Corresponding Author:

  • Lu Tang, PhD
  • Department of Communication
  • Texas A&M University
  • 456 Ross Street
  • College Station, TX, 77840-77845
  • United States
  • Phone: 1 12136754090
  • Email: ltang@tamu.edu