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

Eating Disorders (78) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Methods and New Tools in Mental Health Research (454) Mass Media/Social Media Communication and Campaigns (461) Infodemiology and Infoveillance (1349) Peer-to-Peer Support and Online Communities (636) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514)

Published on in Vol 8, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24340, first published .
Examining the Pro-Eating Disorders Community on Twitter Via the Hashtag #proana: Statistical Modeling Approach

Examining the Pro-Eating Disorders Community on Twitter Via the Hashtag #proana: Statistical Modeling Approach

Examining the Pro-Eating Disorders Community on Twitter Via the Hashtag #proana: Statistical Modeling Approach

Authors of this article:

Suku Sukunesan1 Author Orcid Image ;   Minh Huynh2 Author Orcid Image ;   Gemma Sharp3 Author Orcid Image
Article Authors Cited by (13) Tweetations (18) Metrics

Journals

  1. Sharp G, Gerrard Y. The body image “problem” on social media: Novel directions for the field. Body Image 2022;41:267 View
  2. Benítez-Andrades J, García-Ordás M, Russo M, Sakor A, Fernandes Rotger L, Vidal M, Kondylakis H, Rao P, Stefanidis K. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. Semantic Web 2023;14(5):873 View
  3. Pruccoli J, De Rosa M, Chiasso L, Perrone A, Parmeggiani A. The use of TikTok among children and adolescents with Eating Disorders: experience in a third-level public Italian center during the SARS-CoV-2 pandemic. Italian Journal of Pediatrics 2022;48(1) View
  4. Benítez-Andrades J, Alija-Pérez J, Vidal M, Pastor-Vargas R, García-Ordás M. Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study. JMIR Medical Informatics 2022;10(2):e34492 View
  5. Abuhassan M, Anwar T, Fuller-Tyszkiewicz M, Jarman H, Shatte A, Liu C, Sukunesan S. Classification of Twitter users with eating disorder engagement: Learning from the biographies. Computers in Human Behavior 2023;140:107519 View
  6. Sharp G, Torous J, West M. Ethical Challenges in AI Approaches to Eating Disorders. Journal of Medical Internet Research 2023;25:e50696 View
  7. Rando-Cueto D, de las Heras-Pedrosa C, Paniagua-Rojano F. Health Communication Strategies via TikTok for the Prevention of Eating Disorders. Systems 2023;11(6):274 View
  8. Bozzola E, Caffarelli C, Santamaria F, Corsello G. Year 2022: exploring COVID-19 pandemic in children. Italian Journal of Pediatrics 2023;49(1) View
  9. Sánchez F, Brunner K. On rhetorical distortion: Examining mutated hashtags in pro-an(orexi)a communities. Computers and Composition 2024;73:102872 View
  10. Salzberg M, Kim H, Basnayake C, Holt D, Kamm M. Role of social media in the presentation of disorders of gut–brain interaction: Review and recommendations. Journal of Gastroenterology and Hepatology 2024 View
  11. Griffiths S, Harris E, Whitehead G, Angelopoulos F, Stone B, Grey W, Dennis S. Does TikTok contribute to eating disorders? A comparison of the TikTok algorithms belonging to individuals with eating disorders versus healthy controls. Body Image 2024;51:101807 View
  12. Nova F, Pfafman R, Logan Delaney C, Pater J. Unveiling the "Toxic" World of #Meanspo: Understanding Users' Emerging Online Eating Disorder Practices in X/Twitter. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View

Books/Policy Documents

  1. Schneider C. Public Criminology. View