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        <title>M-Help: Using Social Media Data to Detect Mental Health Help-Seeking Signals</title>
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        <namePart type="given">Msvpj</namePart>
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            <title>Findings of the Association for Computational Linguistics: EMNLP 2025</title>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T M-Help: Using Social Media Data to Detect Mental Health Help-Seeking Signals
%A Sathvik, Msvpj
%A Shaik, Zuhair Hasan
%A Gupta, Vivek
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Findings of the Association for Computational Linguistics: EMNLP 2025
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-335-7
%F sathvik-etal-2025-help
%X 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.
%R 10.18653/v1/2025.findings-emnlp.1225
%U https://aclanthology.org/2025.findings-emnlp.1225/
%U https://doi.org/10.18653/v1/2025.findings-emnlp.1225
%P 22510-22520

Markdown (Informal)

[M-Help: Using Social Media Data to Detect Mental Health Help-Seeking Signals](https://aclanthology.org/2025.findings-emnlp.1225/) (Sathvik et al., Findings 2025)

• M-Help: Using Social Media Data to Detect Mental Health Help-Seeking Signals (Sathvik et al., Findings 2025)

ACL

• Msvpj Sathvik, Zuhair Hasan Shaik, and Vivek Gupta. 2025. M-Help: Using Social Media Data to Detect Mental Health Help-Seeking Signals. In Findings of the Association for Computational Linguistics: EMNLP 2025, pages 22510–22520, Suzhou, China. Association for Computational Linguistics.