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

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, US

2 Advanced Bioimaging Center, University of California , Berkeley, CA, US

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

4 Department of Psychological Science, University of Vermont , Burlington, VT, US

5 Department of Computer Science, University of Vermont , Burlington, VT, US

6 Department of Mathematics and Statistics, University of Vermont , Burlington, VT, US

Corresponding Author:

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