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

Infodemiology and Infoveillance (1349) Peer-to-Peer Support and Online Communities (636) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Machine Learning (1465) Mass Media/Social Media Communication and Campaigns (461) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Substance Abuse (419) Opioid and Related Substance Misuse (147) Infoveillance and Social Listening (209)

Published on in Vol 23, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30753, first published .
Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach

Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach

Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach

Authors of this article:

Mai ElSherief1 Author Orcid Image ;   Steven A Sumner2 Author Orcid Image ;   Christopher M Jones3 Author Orcid Image ;   Royal K Law4 Author Orcid Image ;   Akadia Kacha-Ochana2 Author Orcid Image ;   Lyna Shieber5 Author Orcid Image ;   LeShaundra Cordier5 Author Orcid Image ;   Kelly Holton3 Author Orcid Image ;   Munmun De Choudhury6 Author Orcid Image
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