Social media and self-harm: Study finds need for more control over content and safe spaces for connection and support
Peer-Reviewed Publication
This month, we're turning our attention to National Suicide Prevention Awareness Month, an important time dedicated to raising awareness, breaking stigma, and exploring the science behind mental health and suicide prevention.
Updates every hour. Last Updated: 21-Oct-2026 00:16 ET (21-Oct-2026 04:16 GMT/UTC)
There are increasing calls for tighter restrictions on social media use, particularly for children and young people but evidence shows potential harms co-exist on platforms alongside opportunities for crisis support and connection.
Researchers at the National Centre for Suicide Prevention and Self-Harm Research (NCSR) analysed the views of social media users themselves to find out more and discovered almost 90 per cent of respondents wanted more personal control over what they view.
In a recent study, USC researchers with backgrounds across engineering, neurology, speech technology, artificial intelligence (AI), linguistics and clinical psychiatry teamed up to develop an assessment that classifies depression and suicidal ideation by analyzing biomarkers such as sweat, brain signals and eye movements, and using AI to build this classification system. Funded by the Defense Advanced Research Projects Agency (DARPA), the research project is titled “PRECOG: Multimodal integration of neural and biobehavioral signals for predicting preconscious responses” and began in June 2023. This research project could provide psychiatrists with a tool to identify and potentially predict high-risk individuals through biological signals, offering a more standardized way to monitor mental health and identify timely intervention points to help prevent suicide. The PRECOG project has resulted in five papers published in major journals this year, with one additional paper currently in the publication process, covering additional biomarkers and computational breakthroughs. Three papers focused on neural signals measured using electroencephalography (EEG). One, titled “Neural Evidence of Disrupted Self-Referential Processing in Suicidal Depression,” was published in the Journal of Affective Disorders and led by PhD student Colin McDaniel, who is advised by Narayanan and Assal Habibi, who is an associate professor of psychology at USC Dornsife College of Letters, Arts and Sciences. Another, titled “Time-Resolved EEG Decoding Reveals Altered Neural Dynamics of Affective Semantic Evaluation in Depression and Suicidality,” was published in Communications Biology and led by PhD student Woojae Jeong, who is part of USC Biomedical Imaging Group (BIG) and advised by Richard Leahy. Leahy is the USC Leonard Silverman Chair and professor of electrical and computer engineering, biomedical engineering, and radiology. The third paper, titled “Neural Responses to Affective Sentences Reveal Signatures of Depression,” was published in Translational Psychiatry and led by PhD student Aditya Kommineni, who is also advised by Narayanan.The fifth paper, titled “A Point Process Model of Skin Conductance Responses in a Stroop Task for Predicting Depression and Suicidal Ideation,” used electrodermal activity (EDA), known as skin conductance, to collect sweat data as a biomarker. The study was also led by Avramidis.
Key takeaways
Young men are facing a loneliness crisis that may increase their risk of suicide and problems with alcohol or drug use.
A type of talk therapy developed by Ohio State researcher Nicholas Allan addresses loneliness by encouraging real-life connections.
The ongoing SOAR Study aims to uncover root causes of emotional distress and promote resilience.