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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1517)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43439, first published .
Exploring the Behavior of Users With Attention-Deficit/Hyperactivity Disorder on Twitter: Comparative Analysis of Tweet Content and User Interactions

Exploring the Behavior of Users With Attention-Deficit/Hyperactivity Disorder on Twitter: Comparative Analysis of Tweet Content and User Interactions

Exploring the Behavior of Users With Attention-Deficit/Hyperactivity Disorder on Twitter: Comparative Analysis of Tweet Content and User Interactions

Authors of this article:

Liuliu Chen1 Author Orcid Image ;   Jiwon Jeong2, 3 Author Orcid Image ;   Bridgette Simpkins2, 3 Author Orcid Image ;   Emilio Ferrara2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (9) Metrics

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  2. Chart-Pascual J, Montero-Torres M, Ortega M, Mar-Barrutia L, Zorrilla Martinez I, Alvarez-Mon M, Gonzalez-Pinto A, Alvarez-Mon M. Areas of interest and sentiment analysis towards second generation antipsychotics, lithium and mood stabilizing anticonvulsants: Unsupervised analysis using Twitter. Journal of Affective Disorders 2024;351:649 View
  3. Šola H, Qureshi F, Khawaja S. Predicting Behaviour Patterns in Online and PDF Magazines with AI Eye-Tracking. Behavioral Sciences 2024;14(8):677 View