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This work aims to systematically identify and categorize English text-based social media datasets from open data repositories.

August 6, 2026Open Access

A Survey on Publicly Available Text-Based English Social Media Datasets From Online Data Sharing Repositories

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This work aims to systematically identify and categorize English text-based social media datasets from open data repositories.
Queried fourteen open data repositories through REST API and OAI-PMH on July 17, 2026.
Utilized a validated two-step pipeline combining large language model classification and manual inspection.
Annotated features of 1,997 relevant datasets including metadata and dataset characteristics.
Identified 1,997 relevant datasets from 7,291 records retrieved, representing roughly 8.75 billion total posts.
Kaggle was the dominant source, contributing 1,135 datasets, followed by GitHub and Figshare.
Only 27% of datasets were labeled, indicating limited availability for supervised tasks.

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Survey uncovers public text-based social media datasets, highlighting their availability and features.

Author(s) Anonymous (2026) studied this question.

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