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

Corrigenda and Addenda (27) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (2693) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1417) Diagnostic Tools in Mental Health (445) Autism Spectrum Disorder (ASD) (212) Infoveillance and Social Listening (417)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59349, first published .
JMIR Publications logo: Advancing Digital Health & Open Science

Addendum: Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study

Addendum: Using #ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study

Authors of this article:

Aditi Jaiswal1 Author Orcid Image ;   Aekta Shah2 Author Orcid Image ;   Christopher Harjadi3 Author Orcid Image ;   Erik Windgassen4 Author Orcid Image ;   Peter Washington1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Liardet C, Phillips S, Inwood O. “F#@% Autism Speaks”: An ambient affiliation and legitimation analysis of the bonds that unite #ActuallyAutistics on Twitter. Discourse & Communication 2026 View

Books/Policy Documents

  1. Chambers S, Kelley M. Artificial Intelligence in Education. View