Quality Control in Crowdsourcing Systems: Issues and Directions

Authors:
Mohammad Allahbakhsh;Boualem Benatallah;Aleksandar Ignjatovic;Hamid Reza Motahari-Nezhad;Elisa Bertino;Schahram Dustdar
Affiliations:
University of New South Wales;University of New South Wales;University of New South Wales;Hewlett-Packard Laboratories;Purdue University;Technical University of Vienna
Venue:
IEEE Internet Computing
Year:
2013

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Abstract

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.