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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1976) Infodemiology and Infoveillance (1604) Eating Disorders (109) Peer-to-Peer Support and Online Communities (838)

Published on in Vol 23, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25925, first published .
Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis

Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis

Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis

Authors of this article:

Diana Ramírez-Cifuentes1 Author Orcid Image ;   Ana Freire1, 2 Author Orcid Image ;   Ricardo Baeza-Yates1, 3 Author Orcid Image ;   Nadia Sanz Lamora4 Author Orcid Image ;   Aida Álvarez4, 5, 6 Author Orcid Image ;   Alexandre González-Rodríguez4, 5, 6 Author Orcid Image ;   Meritxell Lozano Rochel7 Author Orcid Image ;   Roger Llobet Vives7 Author Orcid Image ;   Diego Alejandro Velazquez8 Author Orcid Image ;   Josep Maria Gonfaus9 Author Orcid Image ;   Jordi Gonzàlez8 Author Orcid Image
Article Authors Cited by (11) Tweetations (29) Metrics

Journals

  1. Mikhaylova O. Self-representations of the experience of anorexia on YouTube: The joint influence of the explanatory model and the web platform. New Media & Society 2024;26(6):3235 View
  2. Ramirez-Cifuentes D, Largeron C, Tissier J, Baeza-Yates R, Freire A. Enhanced Word Embedding Variations for the Detection of Substance Abuse and Mental Health Issues on Social Media Writings. IEEE Access 2021;9:130449 View
  3. Solans Noguero D, Ramírez-Cifuentes D, Ríssola E, Freire A. Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study. Journal of Medical Internet Research 2023;25:e45184 View
  4. Stoliarova V, Bushmelev F, Abramov M. Associations between the Avatar Characteristics and Psychometric Test Results of VK Social Media Users. Mathematics 2023;11(20):4300 View
  5. Khoo L, Lim M, Chong C, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348 View
  6. Montejo-Ráez A, Molina-González M, Jiménez-Zafra S, García-Cumbreras M, García-López L. A survey on detecting mental disorders with natural language processing: Literature review, trends and challenges. Computer Science Review 2024;53:100654 View
  7. Ríssola E, Aragón M, Losada D, Crestani F. On the incidence of depression symptoms on social media. Journal of Computational Social Science 2025;8(2) View
  8. DuPont-Reyes M, Zou W, Li J, Villatoro A, Tang L. A machine learning language model approach to evaluating mental health awareness content across Spanish- and English-language social media posts on Twitter. Social Psychiatry and Psychiatric Epidemiology 2025;60(9):2249 View
  9. HaCohen-Kerner Y, Manor N, Goldmeier M, Bachar E. Early Detection of Anorexia in Blog Posts Written in English. ACM Transactions on Knowledge Discovery from Data 2026;20(2):1 View
  10. Liu Z, Liu Y, Lin B, Tao E, Xu C. A comprehensive analysis of global, regional, and national trends in anorexia nervosa burden (1990–2021) and projections to 2040: insights from the global burden of disease study 2021. Social Psychiatry and Psychiatric Epidemiology 2026 View
  11. Rohei M, Varathan K, Palaiahnakote S, Badrul Anuar N. Review of predictive techniques for detecting mental disorders from user-generated content on social media. PeerJ Computer Science 2026;12:e3559 View