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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1194) JMIR Theme Issue: COVID-19 Special Issue (1661) Natural Language Processing (397) Outbreak and Pandemic Preparedness and Management (1252) Mass Media/Social Media Communication and Campaigns (371) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (667) Infodemiology and Infoveillance (828) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1097) Infectious Diseases (non-STD/STI) (1111) Knowledge Translation and Implementation Science (259)

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 Tang 1 Author Orcid Image ;   Wenlin Liu 2 Author Orcid Image ;   Benjamin Thomas 3 Author Orcid Image ;   Hong Thoai Nga Tran 4 Author Orcid Image ;   Wenxue Zou 1 Author Orcid Image ;   Xueying Zhang 5 Author Orcid Image ;   Degui Zhi 4 Author Orcid Image
Article Authors Cited by (1) Tweetations (9) 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, US

2 Jack J Valenti School of Communication, University of Houston , Houston, TX, US

3 Department of Computer Science, Rice University , Houston, TX, US

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

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

Corresponding Author:

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