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

Early Results in Infodemiology and Infoveillance (89) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1780) Infodemiology and Infoveillance (1448) Substance Abuse (464) Prevention and Health Promotion (1126) Mass Media/Social Media Communication and Campaigns (505) Natural Language Processing (793)

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
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JMIR Formative Res: Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach https://t.co/CfpdarFR8E https://t.co/GoWHqtdZnj

5:34 PM · May 07, 2024

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JMIR Formative Research JMIR Formative Research @JMIR_Formative

RT @jmirpub: JMIR Formative Res: Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Appr…

5:34 PM · May 07, 2024

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