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

Infodemiology and Infoveillance (1001) Peer-to-Peer Support and Online Communities (462) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1269) Machine Learning (1001) Mass Media/Social Media Communication and Campaigns (401) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (818) Substance Abuse (271) Opioid and Related Substance Abuse Crisis (69) Infoveillance and Social Listening (134)

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 ElSherief 1 Author Orcid Image ;   Steven A Sumner 2 Author Orcid Image ;   Christopher M Jones 3 Author Orcid Image ;   Royal K Law 4 Author Orcid Image ;   Akadia Kacha-Ochana 2 Author Orcid Image ;   Lyna Shieber 5 Author Orcid Image ;   LeShaundra Cordier 5 Author Orcid Image ;   Kelly Holton 3 Author Orcid Image ;   Munmun De Choudhury 6 Author Orcid Image
Article Authors Cited by (3) Tweetations (10) Metrics

Journals

  1. Alibudbud R, Cleofas J. Global utilization of online information for substance use disorder: An infodemiological study of Google and Wikipedia from 2004 to 2022. Journal of Nursing Scholarship 2022 View
  2. Garcia G, Dehghanpoor R, Stringfellow E, Gupta M, Rochelle J, Mason E, Pujol T, Jalali M. Identifying and Characterizing Medical Advice-Seekers on a Social Media Forum for Buprenorphine Use. International Journal of Environmental Research and Public Health 2022;19(10):6281 View

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