arxiv:2508.15440

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

Published on Aug 21

Authors:

Zuhair Hasan Shaik ,

Abstract

A novel dataset, M-Help, is introduced to detect help-seeking behavior on social media, identify mental health conditions, and uncover root causes, enabling AI models to address these tasks.

AI-generated summary

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.

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