Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach
BackgroundExpanding access to and use of medication for opioid use disorder (MOUD) is a key component of overdose prevention. An important barrier to the uptake of MOUD is exposure to inaccurate and potentially harmful health misinformation on social media or web-based forums where individuals commo...
Saved in:
Main Authors: | Mai ElSherief (Author), Steven A Sumner (Author), Christopher M Jones (Author), Royal K Law (Author), Akadia Kacha-Ochana (Author), Lyna Shieber (Author), LeShaundra Cordier (Author), Kelly Holton (Author), Munmun De Choudhury (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2021-12-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Endothelial progenitor cell number is not decreased in 34 children with Juvenile Dermatomyositis: a pilot study
by: Dong Xu, et al.
Published: (2017) -
Increased vascular deposition of oxidized LDL in untreated juvenile dermatomyositis
by: Jacob C. Spitznagle, et al.
Published: (2024) -
Medical misinformation in the digital age: current challenges and future directions
by: Elen Mai Lees
Published: (2024) -
Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study
by: Yiding Cao, et al.
Published: (2023) -
Clinician-patient communication about cancer treatment misinformation: The Misinformation Response Model
by: M. Devyn Mullis, et al.
Published: (2024)