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Optimising crowdsourcing efficiency: Amplifying human computation with validation

Chamberlain, Jon ; Kruschwitz, Udo ; Poesio, Massimo



Abstract

Crowdsourcing has revolutionised the way tasks can be completed but the process is frequently inefficient, costing practitioners time and money. This research investigates whether crowdsourcing can be optimised with a validation process, as measured by four criteria: quality; cost; noise; and speed. A validation model is described, simulated and tested on real data from an online crowdsourcing ...

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