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

Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2294) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1978) Public (e)Health, Digital Epidemiology and Public Health Informatics (1130) Focus Groups and Qualitative Research for Human Factors Research (1328) Depression and Mood Disorders; Suicide Prevention (1773) Mass Media/Social Media Communication and Campaigns (607) Intentional Self-Harm (147) Mental Health Surveillance and Epidemiology (105)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66321, first published .
Online Safety When Considering Self-Harm and Suicide-Related Content: Qualitative Focus Group Study With Young People, Policy Makers, and Social Media Industry Professionals

Online Safety When Considering Self-Harm and Suicide-Related Content: Qualitative Focus Group Study With Young People, Policy Makers, and Social Media Industry Professionals

Online Safety When Considering Self-Harm and Suicide-Related Content: Qualitative Focus Group Study With Young People, Policy Makers, and Social Media Industry Professionals

Authors of this article:

Louise La Sala1, 2 Author Orcid Image ;   Amanda Sabo1, 2 Author Orcid Image ;   Maria Michail2, 3 Author Orcid Image ;   Pinar Thorn1, 2 Author Orcid Image ;   Michelle Lamblin1, 2 Author Orcid Image ;   Vivienne Browne1 Author Orcid Image ;   Jo Robinson1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. Chhabra J, Pilkington V, Benakovic R, Wilson M, La Sala L, Seidler Z. Social Media and Youth Mental Health: Scoping Review of Platform and Policy Recommendations. Journal of Medical Internet Research 2025;27:e72061 View
  2. Robinson J, La Sala L, Harrison V. Australia’s Social Media Age Limit. Crisis 2025;46(5):245 View
  3. Öner K, Teke G, Özkan B. The invisible impact of social media use on university students: An analysis of body dissatisfaction and stress. Archives of Psychiatric Nursing 2026;60:152045 View
  4. Jacobucci R, Shao W, Kobrinsky V, Ammerman B. Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study. JMIR Mental Health 2026;13:e90581 View
  5. Zeng K, Xie X, Shen Y, Chen D, Huang C, Li J, Li X. How does intolerance of uncertainty affect digital self-harm? The mediating role of anxiety symptoms and the buffering role of psychological capital. Acta Psychologica 2026;266:106828 View

Conference Proceedings

  1. Wijenayake S, Gray J, Jayatilaka A, La Sala L, Arachchilage N, Kelly R, Das S. Proceedings of the 37th Australian Conference on Human-Computer Interaction. Advancing Interdisciplinary Approaches to Online Safety Research View
  2. Choi J, Fan S. 2025 IEEE International Conference on Big Data (BigData). Towards Interpretable Suicide Risk Prediction: A Hybrid Approach with Feature Extraction and Sequential Binary Classification View
  3. Collins Oguine O, Alvarado Garcia A, Muller M, Badillo-Urquiola K. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. Who Gets to Define Safety? A Systematic Review of How Generative AI Research Addresses Youth Online Safety View