3 citations · 4 across the 4 of their papers we have counts for
4 papers
Ground Truths in Suicide Research: The Current State of AI-Based Suicide Detection in Social Media
Yaakov Ophir, Ofri Hefetz, Refael Tikochinski +6
Recent advances in artificial intelligence (AI) and social media data have led to growing optimism about the ability to detect suicide risk at scale. However, the empirical foundat…
Bored to Death: Artificial Intelligence Research Reveals the Role of Boredom in Suicide Behavior
Shir Lissak, Yaakov Ophir, Refael Tikochinski +4
Background: Recent advancements in Artificial Intelligence (AI) contributed significantly to suicide assessment, however, our theoretical understanding of this complex behavior is…
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…
A Picture May Be Worth a Thousand Lives: An Interpretable Artificial Intelligence Strategy for Predictions of Suicide Risk from Social Media Images
Yael Badian, Yaakov Ophir, Refael Tikochinski +3
The promising research on Artificial Intelligence usages in suicide prevention has principal gaps, including black box methodologies, inadequate outcome measures, and scarce resear…