AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges

Journals

1. Marengo D, Quilghini F, Settanni M. Leveraging social media and large language models for scalable alcohol risk assessment: Examining validity with AUDIT-C and post recency effects. Addictive Behaviors 2025;168:108375 View
2. Kridera S, Kanavos A. Modelling Social Attachment and Mental States from Facebook Activity with Machine Learning. Information 2025;16(9):772 View
3. Boit S, Patil R. A Prompt Engineering Framework for Large Language Model–Based Mental Health Chatbots: Conceptual Framework. JMIR Mental Health 2025;12:e75078 View
4. D'Adamo L, Moussaoui J, Chu D, Graver H, Taylor C, Wilfley D, Sadeh‐Sharvit S, Jacobson N, Cavazos‐Rehg P, Manasse S, Lerman K, Fitzsimmons‐Craft E. Detecting Eating Disorders From Social Media Content: What Has Been Done and Where Do We Go Next?. International Journal of Eating Disorders 2025 View
5. Kosiba B, Brzozowska A, Lipińska M, Konieczny M. Ethical challenges of artificial intelligence (AI) in medicine. Analysis on selected examples. Journal of Modern Science 2025;63(3):658 View

Books/Policy Documents

1. Levi E, Genç E. Digital and Cultural Influences on Media Narratives and Storytelling. View
2. Mohammed R. Pattern Recognition and Artificial Intelligence. View

Conference Proceedings

1. Ge Z, Hu N, Li D, Wang Y, Qi S, Xu Y, Shi H, Zhang J. 2025 IEEE 41st International Conference on Data Engineering Workshops (ICDEW). A Survey of Large Language Models in Mental Health Disorder Detection on Social Media View