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AI model predicts suicidal ideation from adolescent social media posts

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel transformer-based model called Early-SIB to predict future suicidal ideation and behavior (SIB) by analyzing adolescent social media posts. The model achieved a balanced accuracy of 0.73 in predicting SIB on a Dutch youth forum, demonstrating its potential to supplement traditional risk assessment methods. Interpretability was enhanced using Shapley Additive Explanations to understand the model's predictions. AI

IMPACT Could offer a new tool for early detection of mental health crises, complementing traditional methods.

RANK_REASON Academic paper detailing a new model and its performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI model predicts suicidal ideation from adolescent social media posts

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Academic paper detailing a new model and its performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]
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49 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Paul Blum, Enrico Liscio, Ruixuan Zhang, Caroline Figueroa, Pradeep K. Murukannaiah ·

    Reading Between the Signs: Predicting Future Suicidal Ideation from Adolescent Social Media Texts

    arXiv:2509.03530v2 Announce Type: replace Abstract: Suicide is a leading cause of death, yet predicting it remains a significant challenge. Risk factors such as depression or substance use are commonly used for prediction, but their predictive performance is often only slightly b…

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