Bored to Death: Artificial Intelligence Research Reveals the Role of Boredom in Suicide Behavior
Shir Lissak, Yaakov Ophir, Refael Tikochinski, Anat Brunstein Klomek,, Itay Sisso, Eyal Fruchter, Roi Reichart

TL;DR
This study uses AI to identify boredom as a significant and previously under-recognized risk factor for suicide, revealing both direct and mediated relationships with suicidal behavior.
Contribution
The research introduces an AI-guided pipeline that uncovers boredom as a key risk factor for suicide, expanding understanding beyond traditional depression-focused models.
Findings
Boredom is a strong predictor of suicide risk.
AI methods identified four Facebook topics linked to suicide.
Boredom's relationship with suicide is both direct and mediated by depression.
Abstract
Background: Recent advancements in Artificial Intelligence (AI) contributed significantly to suicide assessment, however, our theoretical understanding of this complex behavior is still limited. Objective: This study aimed to harness AI methodologies to uncover hidden risk factors that trigger or aggravate suicide behaviors. Method: The primary dataset included 228,052 Facebook postings by 1,006 users who completed the gold-standard Columbia Suicide Severity Rating Scale. This dataset was analyzed using a bottom-up research pipeline without a-priory hypotheses and its findings were validated using a top-down analysis of a new dataset. This secondary dataset included responses by 1,062 participants to the same suicide scale as well as to well-validated scales measuring depression and boredom. Results: An almost fully automated, AI-guided research pipeline resulted in four Facebook topics…
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Taxonomy
MethodsAdaptive Pseudo Augmentation
