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

Methods and New Tools in Mental Health Research (463) Natural Language Processing (706) Machine Learning (1501) Mass Media/Social Media Communication and Campaigns (466) Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1565) Infoveillance and Social Listening (214) Users' and Patients' Needs for Mental Health Services (409)

Published on in Vol 9, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33685, first published .
Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study

Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study

Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study

Authors of this article:

Anne Marie Stupinski1 Author Orcid Image ;   Thayer Alshaabi1, 2 Author Orcid Image ;   Michael V Arnold1 Author Orcid Image ;   Jane Lydia Adams1, 3 Author Orcid Image ;   Joshua R Minot1 Author Orcid Image ;   Matthew Price4 Author Orcid Image ;   Peter Sheridan Dodds1, 5 Author Orcid Image ;   Christopher M Danforth1, 6 Author Orcid Image
Article Authors Cited by (9) Tweetations (19) Metrics

Anne Marie Stupinski   1 , MS ;   Thayer Alshaabi   1, 2 , PhD ;   Michael V Arnold   1 , MS ;   Jane Lydia Adams   1, 3 , MS ;   Joshua R Minot   1 , MS ;   Matthew Price   4 , PhD ;   Peter Sheridan Dodds   1, 5 , PhD ;   Christopher M Danforth   1, 6 , PhD

1 Computational Story Lab, Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States

2 Advanced Bioimaging Center, University of California, Berkeley, CA, United States

3 Data Visualization Lab, Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States

4 Department of Psychological Science, University of Vermont, Burlington, VT, United States

5 Department of Computer Science, University of Vermont, Burlington, VT, United States

6 Department of Mathematics and Statistics, University of Vermont, Burlington, VT, United States

Corresponding Author:

  • Christopher M Danforth, PhD
  • Department of Mathematics and Statistics
  • University of Vermont
  • Innovation Hall E220
  • 82 University Place
  • Burlington, VT, 05405
  • United States
  • Phone: 1 802 656 3032
  • Email: chris.danforth@uvm.edu