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

Infoveillance and Social Listening (416) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2689) Infodemiology and Infoveillance (2016) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1416) Machine Learning (3228) Social Media in Aging (74)

Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36871, first published .
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Codeveloping and Evaluating a Campaign to Reduce Dementia Misconceptions on Twitter: Machine Learning Study

Codeveloping and Evaluating a Campaign to Reduce Dementia Misconceptions on Twitter: Machine Learning Study

Authors of this article:

Sinan Erturk1, 2 Author Orcid Image ;   Georgie Hudson1, 2 Author Orcid Image ;   Sonja M Jansli1, 2 Author Orcid Image ;   Daniel Morris1, 2 Author Orcid Image ;   Clarissa M Odoi1, 2 Author Orcid Image ;   Emma Wilson1, 2 Author Orcid Image ;   Angela Clayton-Turner1 Author Orcid Image ;   Vanessa Bray1 Author Orcid Image ;   Gill Yourston1 Author Orcid Image ;   Andrew Cornwall1 Author Orcid Image ;   Nicholas Cummins1 Author Orcid Image ;   Til Wykes1, 2 Author Orcid Image ;   Sagar Jilka1, 2, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (12) Metrics

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  1. Baydili İ, Tasci B, Tasci G. Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses. Diagnostics 2025;15(4):434 View
  2. Song T, Jamieson J, Akahori W, Meng H, Wang S, Lee Y. Mapping the role of artificial intelligence in health-related stigma: a scoping review. npj Digital Medicine 2026;9(1) View