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Reddit Community Rules and Sentiments

Overview

How do communities perceive their moderation? How do rules shape these perceptions? We study these questions in the context of Reddit, a large online community platform. We provide a dataset of Reddit posts and comments, annotated with sentiment towards moderation and rule classification. We also provide a taxonomy of rules and a classification pipeline for determining a post or comment’s sentiment towards moderation.

Dataset

We provide both a dataset of Reddit posts and comments discussing moderators and a timeline of community rules. These data include sentiment towards moderation annotations and rule classification labels, anonymized to protect user privacy.

Papers

Perceptions of Moderators as a Large-Scale Measure of Online Community Governance

This CSCW 2025 paper describes our classification pipeline for determining a post or comment’s sentiment towards moderation and analyzes the link between sentiment towards moderation and moderation staff itself.

This ICWSM 2025 paper describes our taxonomy of rules, rule classification pipeline, and rule timeline analysis. It analyzes the relationship between rules and governance perceptions in online communities.

People

Galen Weld

Galen Weld is a PhD student at the University of Washington’s Allen School of Computer Science and Engineering.

Leon Leibmann

Leon Leibmann is an undergraduate student at the University of Washington’s Allen School of Computer Science and Engineering.

Amy X. Zhang

Amy X. Zhang is an Assistant Professor at the University of Washington’s Allen School of Computer Science and Engineering, where she runs the Social Futures Lab.

Tim Althoff

Tim Althoff is an Assistant Professor at the University of Washington’s Allen School of Computer Science and Engineering, where he runs the Behavioral Data Science Lab.

Contact

For questions, or if you find an issue on this site, please let Galen Weld or Leon Leibmann know via email: contact AT leibmann DOT org & gweld AT cs DOT washington DOT edu.