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

Methods and New Tools in Mental Health Research (454) Natural Language Processing (692) Machine Learning (1465) Mass Media/Social Media Communication and Campaigns (461) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Infoveillance and Social Listening (209) Users' and Patients' Needs for Mental Health Services (403)

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
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