Datasets for Depression Modeling in Social Media: An Overview
Journal:
arXiv
Published Date:
Mar 27, 2025
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.
