Document Type
Conference Paper
Version Deposited
Published Version
Publication Date
11-3-2019
Publication Title
Proceedings of the 28th International Conference on Information and Knowledge Management
Conference Name
ACM International Conference on Information and Knowledge Management
DOI
10.1145/3357384.3357933
Abstract
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.
Recommended Citation
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Comments
This is an Open Access conference paper.
Copyright 2019 ACM.