标题： M-HELP：利用社交媒体数据检测心理健康求助信号 显示英文标题

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

摘要： 心理健康障碍是一个全球性危机。 虽然存在各种用于检测此类障碍的数据集，但在识别正在寻求帮助的个体方面仍存在关键差距。 本文介绍了一个新的数据集， M-Help，专门设计用于在社交媒体上检测寻求帮助的行为。 该数据集超越了传统标签，不仅识别寻求帮助的活动，还识别特定的心理健康障碍及其潜在原因，如人际关系挑战或财务压力。 在 M-Help 上训练的 AI 模型可以解决三个关键任务：识别寻求帮助的人，诊断心理健康状况，并揭示问题的根本原因。 显示英文摘要

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.