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Parameter-Driven Consensus-based Filtering Improves Collective Judgment Reliability in Crowdsourced Annotation
Crowdsourced annotation can be viewed as a form of distributed human judgment in which individual reliability and task difficulty jointly shape collective decisions. Probabilistic aggregation models estimate latent annotator reliability and task difficulty, but are typically used only to weight judg
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