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

Methods and New Tools in Mental Health Research (424) Natural Language Processing (637) Machine Learning (1373) Mass Media/Social Media Communication and Campaigns (446) Infodemiology and Infoveillance (1270) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1553) e-Mental Health and Cyberpsychology (1388) Infoveillance and Social Listening (178) Users' and Patients' Needs for Mental Health Services (378)

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 (5) Tweetations (20) Metrics

Journals

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  3. Madden E, Prior K, Guckel T, Garlick Bock S, Bryant Z, O’Dean S, Nepal S, Ward C, Thornton L. “What Do I Say? How Do I Say it?” Twitter as a Knowledge Dissemination Tool for Mental Health Research. Journal of Health Communication 2024;29(1):20 View
  4. Tudehope L, Harris N, Vorage L, Sofija E. What methods are used to examine representation of mental ill-health on social media? A systematic review. BMC Psychology 2024;12(1) View
  5. Song Y, Xu R, Huang Y, Ni S, Fan Y. Assessing the Interplay Between Public Attention and Government Responsiveness With Digital Trace Data: Navigating Leadership and Followership in China’s COVID-19 Vaccination Campaign. Social Science Computer Review 2024 View