中文标题#
M-HELP：利用社交媒体数据检测心理健康求助信号
英文标题#
M-HELP: Using Social Media Data to Detect Mental Health Help-Seeking Signals
中文摘要#
心理健康障碍是全球性的危机。雖然存在各種用於檢測此類障礙的數據集，但在識別正在尋求幫助的個體方面仍存在關鍵差距。本文介紹了一個新的數據集，M-Help，專門設計用於在社交媒體上檢測尋求幫助的行為。該數據集超越了傳統標籤，不僅識別尋求幫助的活動，還識別特定的心理健康障礙及其潛在原因，如人際關係挑戰或財務壓力。在 M-Help 上訓練的 AI 模型可以解決三個關鍵任務：識別尋求幫助的人，診斷心理健康狀況，並揭示問題的根本原因。
英文摘要#
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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