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.
Scaling human judgment in community notes with llms
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
CrowdNotes+ combines LLM note augmentation and automation with a three-stage evaluation to outperform human contributors on correctness, helpfulness, and evidence utility for health misinformation notes.
The authors conduct a systematic literature review and real-world analysis to define Crowdsourced Context Systems and map a six-aspect design space with normative implications.
citing papers explorer
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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.
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Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation
CrowdNotes+ combines LLM note augmentation and automation with a three-stage evaluation to outperform human contributors on correctness, helpfulness, and evidence utility for health misinformation notes.
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Beyond Community Notes: A Framework for Understanding and Building Crowdsourced Context Systems for Social Media
The authors conduct a systematic literature review and real-world analysis to define Crowdsourced Context Systems and map a six-aspect design space with normative implications.