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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (825) Infodemiology and Infoveillance (1008) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1276) Digital Health Reviews (787) Machine Learning (1009) Natural Language Processing (492)

Published on in Vol 6 , No 4 (2020) :Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21660, first published .
Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review

Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review

Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review

Authors of this article:

Tavleen Singh 1 Author Orcid Image ;   Kirk Roberts 1 Author Orcid Image ;   Trevor Cohen 2 Author Orcid Image ;   Nathan Cobb 3 Author Orcid Image ;   Jing Wang 4 Author Orcid Image ;   Kayo Fujimoto 5 Author Orcid Image ;   Sahiti Myneni 1 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

Journals

  1. Zingg A, Singh T, Myneni S. Analysis of Online Peripartum Depression Communities: Application of Multilabel Text Classification Techniques to Inform Digitally-Mediated Prevention and Management. Frontiers in Digital Health 2021;3 View
  2. Singh T, Roberts K, Cohen T, Cobb N, Franklin A, Myneni S. Discerning conversational context in online health communities for personalized digital behavior change solutions using Pragmatics to Reveal Intent in Social Media (PRISM) framework. Journal of Biomedical Informatics 2023;140:104324 View
  3. Guraya S, Guraya S, Harkin D, Ryan Á, Mat Nor M, Yusoff M. Medical Education e-Professionalism (MEeP) framework; from conception to development. Medical Education Online 2021;26(1) View
  4. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Journal of Medical Internet Research 2021;23(9):e27314 View
  5. Chang A, Schulz P, Jiao W, Liu M. Obesity-Related Communication in Digital Chinese News From Mainland China, Hong Kong, and Taiwan: Automated Content Analysis. JMIR Public Health and Surveillance 2021;7(11):e26660 View