Datasets for Depression Modeling in Social Media: An Overview

Ana-Maria Bucur, Andreea-Codrina Moldovan, Krutika Parvatikar, Marcos Zampieri, Ashiqur R. KhudaBukhsh +1 more
3/27/2025
cs.CL

No official code found. Best implementation: bucuram/depression-datasets-nlp (75 stars, GPL-3.0, last commit 2025-04-30).

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.

View on arXivView PDF

Code Implementations(1)

bucuram/depression-datasets-nlpCommunity100%
GPL-3.0

A collection of datasets for depression detection/ modelling from social media data

759Sep 7, 20231 years agoGPL-3.0

Similar Papers

On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook

89% match1 repo752024

A Gold Standard Dataset and Evaluation Framework for Depression Detection and Explanation in Social Media using LLMs

87% match2025

Exploring Social Media Posts for Depression Identification: A Study on Reddit Dataset

87% match2024

Advancing Depression Detection on Social Media Platforms Through Fine-Tuned Large Language Models

87% match2024

Depression Detection on Social Media with Large Language Models

86% match2024

Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges

85% match2024

Cite this paper

@article{bucur2025datasets,
  title  = {Datasets for Depression Modeling in Social Media: An Overview},
  author = {Ana-Maria Bucur and Andreea-Codrina Moldovan and Krutika Parvatikar and Marcos Zampieri and Ashiqur R. KhudaBukhsh and Liviu P. Dinu},
  year   = {2025},
  eprint = {2503.21513},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2503.21513v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2503.21513.svg)](https://codeofpaper.com/paper/2503.21513)

Discussion