Publication | Closed Access
Crowd vs. experts
13
Citations
1
References
2014
Year
Unknown Venue
Data AnnotationEngineeringNew InsightsAnnotation ServiceCommunicationSemantic WebCorpus LinguisticsText MiningNatural Language ProcessingInformation RetrievalData ScienceBiasContent AnalysisHuman ComputationAnnotation TaskCrowd Vs. ExpertsKnowledge DiscoveryCrowdsourcingKnowledge Intensive TasksCrowd ComputingAnnotation ToolSocial ComputingHuman-computer InteractionArtsLinguistics
The results of our exploratory study provide new insights to crowdsourcing knowledge intensive tasks. We designed and performed an annotation task on a print collection of the Rijksmuseum Amsterdam, involving experts and crowd workers in the domain-specific description of depicted flowers. We created a testbed to collect annotations from flower experts and crowd workers and analyzed these in regard to user agreement. The findings show promising results, demonstrating how, for given categories, nichesourcing can provide useful annotations by connecting crowdsourcing to domain expertise.
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