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MADOC: Multi-Platform Aggregated Dataset of Online Communities

Authors: Mitrovic Dankulov, Marija; Tomašević, Aleksandar; Maletic, Slobodan; Andjelkovic, Miroslav; Vranic, Ana; Cvetkovic, Darja; Stupovski, Boris; +3 Authors

MADOC: Multi-Platform Aggregated Dataset of Online Communities

Abstract

MADOC is a comprehensive dataset that facilitates computational social science research by providing a unified, standardized dataset for cross-platform analysis of online social dynamics. The dataset aggregates and standardizes data from four distinct platforms: Reddit (2014-2020) Voat (2013-2020) Bluesky (2023-2024) Koo (2020-2023) Dataset Scale 18.9 million posts 236 million comments 23.1 million unique users across all platforms Dataset Structure The dataset is stored in Apache Parquet format, with separate files for each community. Each row represents a single interaction (post, comment, or repost) with the following standardized fields: Field Description post_id Unique identifier for the interaction, anonymized publish_date UNIX timestamp of the interaction (seconds since epoch) user_id Anonymized identifier of the content creator parent_id Identifier of the parent post for comments/replies, NA for posts parent_user_id Identifier of the parent post's creator, NA for posts content Textual content of the interaction, with URLs extracted url External URLs referenced in the post/comment content language Detected language code (currently 'English' for all entries) interaction_type Type of interaction: 'POST', 'COMMENT', or 'REPOST' platform Source platform: 'reddit', 'voat', 'bluesky', or 'koo' community Community identifier (subreddit/subverse name), NA for Bluesky/Koo sentiment_vader VADER sentiment score ranging from -1 (negative) to 1 (positive) sentiment_textblob TextBlob sentiment polarity score ranging from -1 (negative) to 1 (positive) subjectivity_textblob TextBlob subjectivity score ranging from 0.0 (objective) to 1.0 (subjective) toxicity_togixen ToxiGen toxicity score ranging from 0.00 (non-toxic) to 1.00 (toxic) strict_filter Whether content matches strict keyword filtering criteria (1/0) Platform Statistics Reddit Total interactions: 247.6M Posts: 14.5M Comments: 233.1M Unique users: 22.6M Average posts per user: 2.7 Average comments per user: 11.6 Mean sentiment: 0.063 URLs percentage: 10.3% Voat Total interactions: 1.2M Posts: 0.4M Comments: 0.8M Unique users: 0.1M Average posts per user: 8.5 Average comments per user: 7.8 Mean sentiment: 0.011 URLs percentage: 31.8% Bluesky Total interactions: 2.8M Posts: 0.9M Comments: 0.9M Unique users: 0.2M Average posts per user: 14.4 Average comments per user: 6.2 Mean sentiment: 0.088 URLs percentage: 4.5% Koo Total interactions: 4.3M Posts: 3.1M Comments: 1.2M Unique users: 0.2M Average posts per user: 23.0 Average comments per user: 10.6 Mean sentiment: 0.054 URLs percentage: 11.6% Communities Covered General Interest Communities 1. funny 2. gaming 3. pics 4. videos 5. gifs 6. technology Controversial Communities 1. fatpeoplehate 2. GreatAwakening 3. MillionDollarExtreme 4. CringeAnarchy 5. KotakuInAction 6. MensRights Responsible Usage Policy By using this dataset, researchers agree to: 1. Research Purpose: Use the dataset solely for legitimate research purposes that aim to understand and improve online social dynamics. 2. Privacy Protection: - Make no attempts to de-anonymize or re-identify users - Not link or combine this dataset with other data sources to reveal user identities - Not contact or attempt to identify individuals mentioned in post content 3. Ethical Research: - Obtain appropriate institutional ethics approval when required - Follow established guidelines for ethical social media research - Consider potential impacts on marginalized or vulnerable communities 4. Prohibited Uses: - Training harmful AI models or content generation systems - Analyzing patterns to identify or target vulnerable communities 5. Publication Guidelines: - Properly cite the dataset in any resulting publications - Clearly document any filtering or processing applied to the data - Share research findings responsibly, considering potential misuse License This dataset is released under Creative Commons Attribution International 4.0 License. Right to Erasure (Right to be forgotten) All users included in the MADOC dataset have the right to opt out and request the removal of their data, in accordance with GDPR provisions. However, the dataset was created for scientific research purposes, thereby falling under the scenarios for which GDPR provides derogations. The data has been thoroughly pseudonymized.. If you wish to have your interactions excluded from this dataset, please submit your request to madoc@ctrust.ac.rs. We will process your request as soon as possible. Contact You can reach us at: madoc@ctrust.ac.rs

The Multi-platform Aggregated Dataset of Online Communities (MADOC) is a comprehensive dataset that facilitates computational social science research by providing a unified, standardized dataset for cross-platform analysis of online social dynamics. MADOC aggregates and standardizes data from four distinct platforms: Bluesky, Koo, Reddit, and Voat, spanning from 2012 to 2024. The dataset includes 18.9 million posts, 236 million comments, and data from 23.1 million unique users across all platforms, with a particular focus on understanding community dynamics, user migration patterns, and the evolution of toxic behavior across platforms. By providing standardized data structures and FAIR-compliant access through Zenodo, MADOC enables researchers to conduct comparative analyses of user behavior, interaction networks, and content sentiment across diverse social media environments. The dataset's unique value lies in its cross-platform scope, standardized structure, and rich metadata, making it particularly suitable for studying societal phenomena such as community formation, toxic behavior propagation, and user migration patterns in response to platform moderation policies.

Keywords

Online Social Networking, Social Media, Social Network Analysis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average