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Optimising crowdsourcing efficiency: Amplifying human computation with validation

Chamberlain, Jon, Kruschwitz, Udo and Poesio, Massimo (2018) Optimising crowdsourcing efficiency: Amplifying human computation with validation. it - Information Technology 60 (1), pp. 41-49.

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Other URL: https://doi.org/10.1515/itit-2017-0020


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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Item type:Article
Date:2018
Institutions:Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft
Identification Number:
ValueType
10.1515/itit-2017-0020DOI
Keywords:Crowdsourcing; Empirical studies in interaction design; Interactive games; Social networks; Natural language processing
Dewey Decimal Classification:000 Computer science, information & general works > 020 Library & information sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Unknown
Item ID:40303
Owner only: item control page
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