The Wisdom of Crowds
Queue - AI
Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Towards a research agenda for enterprise crowdsourcing
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
Quality control for real-time ubiquitous crowdsourcing
Proceedings of the 2nd international workshop on Ubiquitous crowdsouring
From sensing to controlling: the state of the art in ubiquitous crowdsourcing
International Journal of Communication Networks and Distributed Systems
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Crowdsourcing in the form of human-based electronic services provides a powerful way of outsourcing so called human intelligence tasks (HITs) to a large workforce of people over the Internet. Because of the limited control over that workforce, it is challenging to ensure the quality of the work results. Several approaches have been proposed that can be applied to specific types of HITs. However, it is difficult to identify a suitable quality management approach for any given type of HIT. This paper aims to provide a first sketch of a decision matrix.