AI-generated content in a new 150K-post dataset spreads virally via passive engagement, reaches consensus faster once flagged, and evades detectors more effectively as models improve.
Community moderation and the new epistemology of fact checking on social media
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
An LLM pipeline for writing and evaluating Community Notes outperforms human-written notes on a new 1.2K health benchmark, and exposes that human voters often reward fluent but poorly grounded notes.
AI argumentative feedback on community notes produces larger quality improvements than supportive or neutral feedback in a hybrid moderation experiment.
citing papers explorer
-
The Synthetic Media Shift: Tracking the Rise, Virality, and Detectability of AI-Generated Multimodal Misinformation
AI-generated content in a new 150K-post dataset spreads virally via passive engagement, reaches consensus faster once flagged, and evades detectors more effectively as models improve.
-
Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
An LLM pipeline for writing and evaluating Community Notes outperforms human-written notes on a new 1.2K health benchmark, and exposes that human voters often reward fluent but poorly grounded notes.
-
AI Feedback Enhances Community-Based Content Moderation through Engagement with Counterarguments
AI argumentative feedback on community notes produces larger quality improvements than supportive or neutral feedback in a hybrid moderation experiment.