Fairness and transparency in crowdsourcing

Ria Mae Borromeo, Thomas Laurent, Motomichi Toyama, Sihem Amer-Yahia

研究成果: Conference contribution

5 引用 (Scopus)

抜粋

Despite the success of crowdsourcing, the question of ethics has not yet been addressed in its entirety. Existing efforts have studied fairness in worker compensation and in helping requesters detect malevolent workers. In this paper, we propose fairness axioms that generalize existing work and pave the way to studying fairness for task assignment, task completion, and worker compensation. Transparency on the other hand, has been addressed with the development of plug-ins and forums to track workers’ performance and rate requesters. Similarly to fairness, we define transparency axioms and advocate the need to address it in a holistic manner by providing declarative specifications. We also discuss how fairness and transparency could be enforced and evaluated in a crowdsourcing platform.

元の言語English
ホスト出版物のタイトルAdvances in Database Technology - EDBT 2017
ホスト出版物のサブタイトル20th International Conference on Extending Database Technology, Proceedings
出版者OpenProceedings.org
ページ466-469
ページ数4
2017-March
ISBN(電子版)9783893180738
DOI
出版物ステータスPublished - 2017 1 1
イベント20th International Conference on Extending Database Technology, EDBT 2017 - Venice, Italy
継続期間: 2017 3 212017 3 24

Other

Other20th International Conference on Extending Database Technology, EDBT 2017
Italy
Venice
期間17/3/2117/3/24

    フィンガープリント

ASJC Scopus subject areas

  • Information Systems
  • Software
  • Computer Science Applications

これを引用

Borromeo, R. M., Laurent, T., Toyama, M., & Amer-Yahia, S. (2017). Fairness and transparency in crowdsourcing. : Advances in Database Technology - EDBT 2017: 20th International Conference on Extending Database Technology, Proceedings (巻 2017-March, pp. 466-469). OpenProceedings.org. https://doi.org/10.5441/002/edbt.2017.46