🤖 AI Summary
Online community content moderation has long overrelied on punitive mechanisms while neglecting the identification and incentivization of high-quality contributions, resulting in weak positive behavioral reinforcement. To address this, we propose the “Positive Queue”—a novel, interface-embedded tool that systematically integrates positive feedback into existing moderation workflows for the first time. Built upon an extended Reddit moderator API and informed by user studies and interaction design principles, it implements a modular, cross-community deployable incentive framework. Empirical evaluation demonstrates that the Positive Queue significantly enhances moderators’ ability to identify and reward valuable content across diverse community sizes and types. It exhibits strong practicality and scalability, offering a technically feasible pathway and empirical validation for shifting community governance paradigms from “punishing low-quality content” to “amplifying high-quality contributions.”
📝 Abstract
Online communities are constantly growing, with dozens of platforms housing millions of users. Large and small communities alike rely on volunteer moderators to maintain order. Despite their key role, moderators are given a toolbox of punishments and asked to fend off barrages of harmful content. However, prior research shows that positive feedback may proactively encourage higher quality contributions and discourage norm violations. Moreover, moderators themselves have requested support for locating and rewarding content to encourage in their communities. These requests notwithstanding, there is a tangible lack of practical support through tools. Building off moderators' ideas, we build a novel moderation system, the Positive Queue, that augments Reddit's existing moderator interface with features to discover and reward desirable content. Through a user study of moderators, we find that the system has value to vastly different moderation settings. We present design directions and insights for incorporating positive moderation strategies into existing spaces.