Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57838, first published .
Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”

Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”

Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”

Usha Lokala   1 , MS ;   Orchid Chetia Phukan   2 , MTech ;   Triyasha Ghosh Dastidar   3 , MSc ;   Francois Lamy   4 , PhD ;   Raminta Daniulaityte   5 , PhD ;   Amit Sheth   1 , PhD

1 Department of Computer Science and Computer Engineering, Artificial Intelligence Institute, University of South Carolina, Columbia, SC, United States

2 Department of Computer Science and Engineering, Indraprastha Institute of Information Technology, Delhi, India

3 Department of Computer Science and Engineering, Birla Institute of Technology & Science Pilani, Hyderabad, India

4 Department of Society and Health, Mahildol University, Salaya, Thailand

5 College of Health Solutions, Institute for Social Science Research, Arizona State University, Phoneix, AZ, United States

Corresponding Author:

  • Usha Lokala, MS
  • Department of Computer Science and Computer Engineering
  • Artificial Intelligence Institute
  • University of South Carolina
  • Science and Technology building Floor 5, 1112 Greene St
  • Columbia, SC, 29208
  • United States
  • Phone: 1 8037771910
  • Email: nlokala@email.sc.edu