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

Automobile and Road Safety (16) Quality/Credibility of eHealth Information and Trust Issues (531)

Published on in Vol 6, No 1 (2020): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14995, first published .
Distracted Driving on YouTube: Categorical and Quantitative Analyses of Messages Portrayed

Distracted Driving on YouTube: Categorical and Quantitative Analyses of Messages Portrayed

Distracted Driving on YouTube: Categorical and Quantitative Analyses of Messages Portrayed

Authors of this article:

Marko Gjorgjievski1 Author Orcid Image ;   Sheila Sprague1 Author Orcid Image ;   Harman Chaudhry2 Author Orcid Image ;   Lydia Ginsberg3 Author Orcid Image ;   Alick Wang4 Author Orcid Image ;   Mohit Bhandari3 Author Orcid Image ;   Bill Ristevski3 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

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  1. Stefanidis K, Davey B, Truelove V, Schiemer C, Freeman J, Jin S. Does exposure to social media content influence attitudes towards, and engagement in, road rule violations? A systematic review. PLOS ONE 2022;17(9):e0275335 View
  2. Wu Y, Lin S, Lin Y. Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps. Journal of Behavioral Addictions 2021;9(4):928 View
  3. . The Dangers of Distracted Driving: A Substudy of Patient Perception Data From the DRIVSAFE Observational Study. Journal of Orthopaedic Trauma 2024;38(10):e347 View