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Quality Control in Crowdsourcing Systems: Issues and Directions
March-April 2013 (vol. 17 no. 2)
pp. 76-81
M. Allahbakhsh, Univ. of New South Wales, Sydney, NSW, Australia
B. Benatallah, Univ. of New South Wales, Sydney, NSW, Australia
A. Ignjatovic, Univ. of New South Wales, Sydney, NSW, Australia
H. R. Motahari-Nezhad, Hewlett-Packard Labs., Palo Alto, CA, USA
As a new distributed computing model, crowdsourcing lets people leverage the crowd's intelligence and wisdom toward solving problems. This article proposes a framework for characterizing various dimensions of quality control in crowdsourcing systems, a critical issue. The authors briefly review existing quality-control approaches, identify open issues, and look to future research directions. In the Web extra, the authors discuss both design-time and runtime approaches in more detail.
Index Terms:
software quality,distributed processing,quality control,runtime approach,quality control,crowdsourcing system,distributed computing model,design-time approach,crowdsourcing workflows,crowdsourcing,quality control
Citation:
M. Allahbakhsh, B. Benatallah, A. Ignjatovic, H. R. Motahari-Nezhad, E. Bertino, S. Dustdar, "Quality Control in Crowdsourcing Systems: Issues and Directions," IEEE Internet Computing, vol. 17, no. 2, pp. 76-81, March-April 2013, doi:10.1109/MIC.2013.20
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