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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1096) Infodemiology and Infoveillance (823) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (663) Smoking Cessation (381)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16962, first published .
Characterizing Social Media Messages Related to Underage JUUL E-Cigarette Buying and Selling: Cross-Sectional Analysis of Reddit Subreddits

Characterizing Social Media Messages Related to Underage JUUL E-Cigarette Buying and Selling: Cross-Sectional Analysis of Reddit Subreddits

Characterizing Social Media Messages Related to Underage JUUL E-Cigarette Buying and Selling: Cross-Sectional Analysis of Reddit Subreddits

Authors of this article:

Hejing Liu 1, 2 Author Orcid Image ;   Qiudan Li 1, 3 Author Orcid Image ;   Yongcheng Zhan 4 Author Orcid Image ;   Zhu Zhang 1, 3 Author Orcid Image ;   Daniel D Zeng 1, 2, 3 Author Orcid Image ;   Scott J Leischow 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (5) Metrics
Hejing Liu 1, 2, BE;  Qiudan Li 1, 3, PhD;  Yongcheng Zhan 4, PhD;  Zhu Zhang 1, 3, PhD;  Daniel D Zeng 1, 2, 3, PhD;  Scott J Leischow 5, PhD

1 The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing , CN

2 School of Artificial Intelligence, University of Chinese Academy of Sciences , Beijing , CN

3 Shenzhen Artificial Intelligence and Data Science Institute (Longhua) , Shenzhen , CN

4 Orfalea College of Business, California Polytechnic State University , San Luis Obispo, CA, US

5 College of Health Solutions, Arizona State University , Phoenix, AZ, US

Corresponding Author:

  • Qiudan Li, PhD
  • The State Key Laboratory of Management and Control for Complex Systems
  • Institute of Automation
  • Chinese Academy of Sciences
  • 95 Zhongguancun East Rd
  • Beijing
  • CN
  • Phone: 86 10-82449802
  • Email: qiudan.li@ia.ac.cn