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.
@article{arxiv.2508.15440,
title = {M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signals},
author = {MSVPJ Sathvik and Zuhair Hasan Shaik and Vivek Gupta},
journal= {arXiv preprint arXiv:2508.15440},
year = {2025}
}