Chamberlain, Jon, Kruschwitz, Udo 
and Poesio, Massimo
(2018)
Optimising crowdsourcing efficiency: Amplifying human computation with validation.
it - Information Technology 60 (1), pp. 41-49.
Full text not available from this repository.
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: |
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| 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 |
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