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

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