Proceedings of the 28th International Conference on Information and Knowledge Management
ACM International Conference on Information and Knowledge Management
Crowdsourcing leverages the diverse skill sets of large collections of individual contributors to solve problems and execute projects, where contributors may vary significantly in experience, expertise, and interest in completing tasks. Hence, to ensure the satisfaction of its task requesters, most existing crowdsourcing platforms focus primarily on supervising contributors' behavior. This lopsided approach to supervision negatively impacts contributor engagement and platform sustainability.
Qiu, Chenxi; Squicciarini, Anna; and Rajtmajer, Sarah, "Rating mechanisms for sustainability of crowdsourcing platforms" (2019). Faculty Scholarship for the College of Science & Mathematics. 167.
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Qiu, C., Squicciarini, A., & Rajtmajer, S. (2019). Rating mechanisms for sustainability of crowdsourcing platforms. Proceedings of the 28th International Conference on Information and Knowledge Management, New York, NY: Association for Computing Machinery, pp. 2002-2012. DOI:10.1145/3357384.3357933.