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20232025
most citedA Picture May Be Worth a Thousand Lives: An Interpretable Artificial Intelligence Strategy for Predictions of Suicide Risk from Social Media Images

1 citations · 1 across the 2 of their papers we have counts for

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cs.CL2025

Bridging Online Behavior and Clinical Insight: A Longitudinal LLM-based Study of Suicidality on YouTube Reveals Novel Digital Markers

Ilanit Sobol, Shir Lissak, Refael Tikochinski +4

Suicide remains a leading cause of death in Western countries. As social media becomes central to daily life, digital footprints offer valuable insight into suicidal behavior. Focu…

cs.CL2024★ 3 cited

The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth

Shir Lissak, Nitay Calderon, Geva Shenkman +4

Queer youth face increased mental health risks, such as depression, anxiety, and suicidal ideation. Hindered by negative stigma, they often avoid seeking help and rely on online re…