1 citations · 1 across the 5 of their papers we have counts for
5 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…
Artificial intelligence is creating a new global linguistic hierarchy
Giulia Occhini, Kumiko Tanaka-Ishii, Anna Barford +10
Artificial intelligence (AI) has the potential to transform healthcare, education, governance and socioeconomic equity, but its benefits remain concentrated in a small number of la…
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…
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…
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…