Multi-Platform Aggregated Dataset of Online Communities (MADOC)

TL;DR

MADOC is a large, standardized, cross-platform dataset of online communities enabling research on social dynamics, toxicity, moderation, and migration across Bluesky, Koo, Reddit, and Voat.

Contribution

It introduces a comprehensive, FAIR-compliant dataset aggregating data from multiple platforms with standardized formats for advanced social science research.

Findings

Enables comparative analysis of toxic behavior evolution.

Supports research on content moderation impacts.

Facilitates platform migration studies.

Abstract

The Multi-platform Aggregated Dataset of Online Communities (MADOC) is a comprehensive dataset that facilitates computational social science research by providing FAIR-compliant standardized access to cross-platform analysis of online social dynamics. MADOC aggregates and standardizes data from Bluesky, Koo, Reddit, and Voat (2012-2024), containing 18.9 million posts, 236 million comments, and 23.1 million unique users. The dataset enables comparative studies of toxic behavior evolution across platforms through standardized interaction records and sentiment analysis. By providing UUID-anonymized user histories and temporal alignment of banned communities' activity patterns, MADOC supports research on content moderation impacts and platform migration trends. Distributed via Zenodo with persistent identifiers and Python/R toolkits, the dataset adheres to FAIR principles while addressing post-API-era research challenges through ethical aggregation of public social media archives.