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.

Comments

This is an Open Access conference paper.

Copyright 2019 ACM.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Published 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.

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