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

Infoveillance and Social Listening (238) Infodemiology and Infoveillance (1440) Substance Abuse (456) Applications of AI (161) Research Methodology - AI (17)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59076, first published .
Large-Scale Deep Learning–Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 Pandemic

Large-Scale Deep Learning–Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 Pandemic

Large-Scale Deep Learning–Enabled Infodemiological Analysis of Substance Use Patterns on Social Media: Insights From the COVID-19 Pandemic

Authors of this article:

Julina Maharjan1 Author Orcid Image ;   Jianfeng Zhu1 Author Orcid Image ;   Jennifer King2 Author Orcid Image ;   NhatHai Phan3 Author Orcid Image ;   Deric Kenne2 Author Orcid Image ;   Ruoming Jin1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Julina Maharjan   1 , PhD ;   Jianfeng Zhu   1 , PhD ;   Jennifer King   2 , Prof Dr ;   NhatHai Phan   3 , Prof Dr ;   Deric Kenne   2 , Prof Dr ;   Ruoming Jin   1 , Prof Dr

1 Department of Computer Science, Kent State University, Kent, OH, United States

2 Department of Public Health, Kent State University, Kent, OH, United States

3 Data Science Department, New Jersey Institute of Technology, Newark, NJ, United States

Corresponding Author:

  • Julina Maharjan, PhD
  • Department of Computer Science
  • Kent State University
  • 800 E Summit St
  • Kent, OH, 44242
  • United States
  • Phone: 1 3305931365
  • Email: jmaharja@kent.edu