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

Behavioural Surveillance for Public Health (204) Infodemiology and Infoveillance (1269) Machine Learning (1370) Natural Language Processing (636) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Smoking Cessation (514)

Published on in Vol 6, No 3 (2020): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19975, first published .
Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data

Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data

Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data

Authors of this article:

Ryzen Benson1 Author Orcid Image ;   Mengke Hu1 Author Orcid Image ;   Annie T Chen2 Author Orcid Image ;   Subhadeep Nag3 Author Orcid Image ;   Shu-Hong Zhu4 Author Orcid Image ;   Mike Conway1 Author Orcid Image
Article Authors Cited by (14) Tweetations (23) Metrics

Ryzen Benson   1 ;   Mengke Hu   1 , PhD ;   Annie T Chen   2 , PhD ;   Subhadeep Nag   3 , MS ;   Shu-Hong Zhu   4 , PhD ;   Mike Conway   1 , PhD

1 Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, United States

2 Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States

3 University Information Technology Infrastructure and Operations, University of Utah, Salt Lake City, UT, United States

4 Department of Family Medicine & Public Health, University of California, San Diego, La Jolla, CA, United States

Corresponding Author: