Datasets for Depression Modeling in Social Media: An Overview

• URL: http://arxiv.org/abs/2503.21513v1
• Date: Thu, 27 Mar 2025 14:03:25 GMT
• Title: Datasets for Depression Modeling in Social Media: An Overview
• Authors: Ana-Maria Bucur, Andreea-Codrina Moldovan, Krutika Parvatikar, Marcos Zampieri, Ashiqur R. KhudaBukhsh, Liviu P. Dinu,
• Abstract summary: Depression is the most common mental health disorder, and its prevalence increased during the COVID-19 pandemic.<n>Recent research has increasingly focused on leveraging social media data to enhance traditional methods of depression screening.
• Score: 21.978924582262263
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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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