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Arxiv
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370
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Bridging Online Behavior and Clinical Insight: A Longitudinal LLM-based Study of Suicidality on YouTube Reveals Novel Digital Markers
- Suicide remains a leading cause of death in Western countries, prompting new research approaches.
- Digital footprints on social media can provide insight into suicidal behavior.
- A study focused on individuals who attempted suicide while uploading videos to their YouTube channels.
- Complementary approaches were applied: computational bottom-up, hybrid, and expert-driven top-down.
- A novel longitudinal dataset of 181 YouTube channels from individuals with life-threatening attempts was analyzed.
- LLM-based topic modeling identified five behavioral indicators associated with suicide attempts.
- Two topics showed temporal attempt-related changes: Mental Health Struggles and YouTube Engagement.
- A clinical expert reviewed topics and flagged 19 as suicide-related but found no significant attempt-related temporal effects.
- YouTube Engagement, a platform-specific indicator, was not identified by the expert.
- Psychological assessment of suicide attempt narratives revealed differences in motivation to share experiences.
- Individuals who attempted before aimed to Help Others, while those who attempted during their upload period framed it as part of their Personal Recovery.
- The study offers a nuanced understanding of suicidality by integrating digital behavior and clinical insights.
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