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

Infodemiology and Infoveillance (1005) Peer-to-Peer Support and Online Communities (463) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1273) Machine Learning (1007) Mass Media/Social Media Communication and Campaigns (401) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (822) 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
Mai ElSherief 1 , PhD ;   Steven A Sumner 2 , MD ;   Christopher M Jones 3 , DPH ;   Royal K Law 4 , PhD ;   Akadia Kacha-Ochana 2 , MPH ;   Lyna Shieber 5 , DPhil ;   LeShaundra Cordier 5 , MPH ;   Kelly Holton 3 , MPH ;   Munmun De Choudhury 6 , PhD

1 University of California, San Diego , San Diego , CA , US

2 Office of Strategy and Innovation , National Center for Injury Prevention and Control , Centers for Disease Control and Prevention , Atlanta , GA , US

3 National Center for Injury Prevention and Control , Centers for Disease Control and Prevention , Atlanta , GA , US

4 Division of Injury Prevention , National Center for Injury Prevention and Control , Centers for Disease Control and Prevention , Atlanta , GA , US

5 Brunet-García , Atlanta , GA , US

6 School of Interactive Computing , Georgia Institute of Technology , Atlanta , GA , US

Corresponding Author:

  • Munmun De Choudhury, PhD
  • School of Interactive Computing
  • Georgia Institute of Technology
  • 756 W Peachtree St NW
  • Atlanta, GA
  • US
  • Phone: 1 4043858603
  • Email: munmund@gatech.edu