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

Early Results in Infodemiology and Infoveillance (72) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Substance Abuse (419) Prevention and Health Promotion (986) Mass Media/Social Media Communication and Campaigns (461) Natural Language Processing (692)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54433, first published .
Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach

Authors of this article:

Yunhao Yuan1 Author Orcid Image ;   Erin Kasson2 Author Orcid Image ;   Jordan Taylor3 Author Orcid Image ;   Patricia Cavazos-Rehg2 Author Orcid Image ;   Munmun De Choudhury4 Author Orcid Image ;   Talayeh Aledavood1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Yunhao Yuan   1 , MSc ;   Erin Kasson   2 , MSW, MS ;   Jordan Taylor   3 , MS ;   Patricia Cavazos-Rehg   2 , PhD ;   Munmun De Choudhury   4 , PhD ;   Talayeh Aledavood   1 , PhD

1 Department of Computer Science, Aalto University, Espoo, Finland

2 School of Medicine, Washington University in St. Louis, St. Louis, MO, United States

3 Carnegie Mellon University, Pittsburgh, PA, United States

4 Georgia Institute of Technology, Atlanta, GA, United States

Corresponding Author:

  • Yunhao Yuan, MSc
  • Department of Computer Science
  • Aalto University
  • P.O. Box 11000 (Otakaari 1B)
  • FI-00076 AALTO
  • Espoo, FI-00076
  • Finland
  • Phone: 358 509113635
  • Email: Yunhao.Yuan@aalto.fi