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

Mass Media/Social Media Communication and Campaigns (446) Infodemiology and Infoveillance (1269) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Smoking Cessation (514)

Published on in Vol 5, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12878, first published .
Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis

Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis

Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis

Authors of this article:

Dannielle E Kelley1 Author Orcid Image ;   Meredith Brown2 Author Orcid Image ;   Alice Murray2 Author Orcid Image ;   Kelly D Blake3 Author Orcid Image
Article Authors Cited by (1) Tweetations (8) Metrics

Journals

  1. Hayes J, Britt B, Evans W, Rush S, Towery N, Adamson A. Can Social Media Listening Platforms’ Artificial Intelligence Be Trusted? Examining the Accuracy of Crimson Hexagon’s (Now Brandwatch Consumer Research’s) AI-Driven Analyses. Journal of Advertising 2021;50(1):81 View