M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signals

Fuente: arXiv
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Autori principali: Sathvik, MSVPJ, Shaik, Zuhair Hasan, Gupta, Vivek
Natura: Preprint
Pubblicazione: 2025
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author Sathvik, MSVPJ
Shaik, Zuhair Hasan
Gupta, Vivek
author_facet Sathvik, MSVPJ
Shaik, Zuhair Hasan
Gupta, Vivek
contents Mental health disorders are a global crisis. While various datasets exist for detecting such disorders, there remains a critical gap in identifying individuals actively seeking help. This paper introduces a novel dataset, M-Help, specifically designed to detect help-seeking behavior on social media. The dataset goes beyond traditional labels by identifying not only help-seeking activity but also specific mental health disorders and their underlying causes, such as relationship challenges or financial stressors. AI models trained on M-Help can address three key tasks: identifying help-seekers, diagnosing mental health conditions, and uncovering the root causes of issues.
format Preprint
id arxiv_https___arxiv_org_abs_2508_15440
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signals
Sathvik, MSVPJ
Shaik, Zuhair Hasan
Gupta, Vivek
Computation and Language
Mental health disorders are a global crisis. While various datasets exist for detecting such disorders, there remains a critical gap in identifying individuals actively seeking help. This paper introduces a novel dataset, M-Help, specifically designed to detect help-seeking behavior on social media. The dataset goes beyond traditional labels by identifying not only help-seeking activity but also specific mental health disorders and their underlying causes, such as relationship challenges or financial stressors. AI models trained on M-Help can address three key tasks: identifying help-seekers, diagnosing mental health conditions, and uncovering the root causes of issues.
title M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signals
topic Computation and Language
url https://arxiv.org/abs/2508.15440