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

Early Results in Infodemiology and Infoveillance (104) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infodemiology and Infoveillance (1558) Substance Abuse (530) Prevention and Health Promotion (1362) Mass Media/Social Media Communication and Campaigns (574) Natural Language Processing (917)

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 (2) Tweetations (2) Metrics

Journals

  1. Ahmad M, Sidorov G, Amjad M, Ameer I, Batyrshin I. Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach. Information 2025;16(7):545 View

Books/Policy Documents

  1. Fernández-López L, Martínez Laorden E, Martín Sánchez F, Almela Rojo P, Navarro-Zaragoza J. Substance Abuse - New Compounds and New Problems. View