3 citations · 9 across the 26 of their papers we have counts for
6 papers · 1 filter
Venire: A Machine Learning-Guided Panel Review System for Community Content Moderation
Vinay Koshy, Frederick Choi, Yi-Shyuan Chiang +3
Research into community content moderation often assumes that moderation teams govern with a single, unified voice. However, recent work has found that moderators disagree with one…
SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
Xianyang Zhan, Agam Goyal, Yilun Chen +2
Large language models (LLMs) have shown promise in many natural language understanding tasks, including content moderation. However, these models can be expensive to query in real-…
Uncovering the Internet's Hidden Values: An Empirical Study of Desirable Behavior Using Highly-Upvoted Content on Reddit
Agam Goyal, Charlotte Lambert, Yoshee Jain +1
A major task for moderators of online spaces is norm-setting, essentially creating shared norms for user behavior in their communities. Platform design principles emphasize the imp…
Does Positive Reinforcement Work?: A Quasi-Experimental Study of the Effects of Positive Feedback on Reddit
Charlotte Lambert, Koustuv Saha, Eshwar Chandrasekharan
Social media platform design often incorporates explicit signals of positive feedback. Some moderators provide positive feedback with the goal of positive reinforcement, but are of…
Towards a Better Modqueue: Designing for Diversity Across Moderator Objectives and Workflows
Tanvi Bajpai, Eshwar Chandrasekharan
Reddit relies on volunteer moderators to enforce community rules, configure tools, and review flagged content. This labor is substantial, worth millions in unpaid effort, and incre…
Creator Hearts: Investigating the Impact Positive Signals from YouTube Creators in Shaping Comment Section Behavior
Frederick Choi, Charlotte Lambert, Vinay Koshy +3
Much of the research in online moderation focuses on punitive actions. However, emerging research has shown that positive reinforcement is effective at encouraging desirable behavi…