Journal
JMIR Formative Research
Publication Date
5-7-2024
Volume
8
First Page
e54433
Document Type
Open Access Publication
DOI
10.2196/54433
Rights and Permissions
Yuan Y, Kasson E, Taylor J, Cavazos-Rehg P, De Choudhury M, Aledavood T Examining the Gateway Hypothesis and Mapping Substance Use Pathways on Social Media: Machine Learning Approach JMIR Form Res 2024;8:e54433 URL: https://formative.jmir.org/2024/1/e54433 DOI: 10.2196/54433 This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, isproperly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
Recommended Citation
Yuan, Yunhao; Kasson, Erin; Taylor, Jordan; Cavazos-Rehg, Patricia; De Choudhury, Munmun; and Aledavood, Talayeh, "Examining the gateway hypothesis and mapping substance use pathways on social media: Machine learning approach." JMIR Formative Research. 8, e54433 (2024).
https://digitalcommons.wustl.edu/oa_4/3825
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.