整理2019-2024年社交网络抑郁研究数据集，助力早期研究者开展语言分析。
Datasets for Depression Modeling in Social Media: An Overview
- 系统梳理2019至2024年社交媒体抑郁相关数据集
- 提供可更新的在线资源，覆盖多语言、多平台数据
- 适合心理学与计算语言学交叉研究者使用
抑郁症是最常见的心理健康障碍，其在新冠疫情期间呈上升趋势。作为被广泛研究的心理状态，近年来研究日益关注利用社交媒体数据来增强传统抑郁筛查方法。本文回应跨学科研究对抑郁问题日益增长的兴趣，旨在为初学者提供一份全面且最新的社交媒体抑郁数据分析与预测数据集列表。我们综述了2019至2024年间发布的数据集，并将完整清单公开于线上，持续更新，希望推动对社交平台上抑郁语言表达的进一步跨学科研究。
原文摘要 · Abstract (English)
Depression is the most common mental health disorder, and its prevalence increased during the COVID-19 pandemic. As one of the most extensively researched psychological conditions, recent research has increasingly focused on leveraging social media data to enhance traditional methods of depression screening. This paper addresses the growing interest in interdisciplinary research on depression, and aims to support early-career researchers by providing a comprehensive and up-to-date list of datasets for analyzing and predicting depression through social media data. We present an overview of datasets published between 2019 and 2024. We also make the comprehensive list of datasets available online as a continuously updated resource, with the hope that it will facilitate further interdisciplinary research into the linguistic expressions of depression on social media.
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