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

JMIR Theme Issue: COVID-19 Special Issue (2087) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1270) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (819) Mass Media/Social Media Communication and Campaigns (401) Infodemiology and Infoveillance (1002)

Published on in Vol 24 , No 11 (2022) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40160, first published .
Using Natural Language Processing to Explore “Dry January” Posts on Twitter: Longitudinal Infodemiology Study

Using Natural Language Processing to Explore “Dry January” Posts on Twitter: Longitudinal Infodemiology Study

Using Natural Language Processing to Explore “Dry January” Posts on Twitter: Longitudinal Infodemiology Study

Authors of this article:

Alex M Russell 1 Author Orcid Image ;   Danny Valdez 2 Author Orcid Image ;   Shawn C Chiang 1 Author Orcid Image ;   Ben N Montemayor 3 Author Orcid Image ;   Adam E Barry 3 Author Orcid Image ;   Hsien-Chang Lin 2 Author Orcid Image ;   Philip M Massey 1 Author Orcid Image
Article Authors Cited by Tweetations (5) Metrics
Alex M Russell 1 , PhD ;   Danny Valdez 2 , PhD ;   Shawn C Chiang 1 , MPH ;   Ben N Montemayor 3 , PhD ;   Adam E Barry 3 , PhD ;   Hsien-Chang Lin 2 , PhD ;   Philip M Massey 1 , PhD

1 Center for Public Health and Technology , Department of Health, Human Performance, and Recreation , University of Arkansas , Fayetteville , AR , US

2 Department of Applied Health Science , School of Public Health , Indiana University , Bloomington , IN , US

3 Department of Health and Kinesiology , Texas A&M University , College Station , TX , US

Corresponding Author:

  • Alex M Russell, PhD
  • Center for Public Health and Technology
  • Department of Health, Human Performance, and Recreation
  • University of Arkansas
  • HPER Building, 308-V
  • Fayetteville, AR
  • US
  • Phone: 1 479-575-8672
  • Email: ar117@uark.edu