Fairness and transparency in crowdsourcing

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

研究成果: Conference contribution

11 被引用数 (Scopus)

抄録

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.

本文言語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
編集者Bernhard Mitschang, Volker Markl, Sebastian Bress, Periklis Andritsos, Kai-Uwe Sattler, Salvatore Orlando
出版社OpenProceedings.org
ページ466-469
ページ数4
ISBN(電子版)9783893180738
DOI
出版ステータスPublished - 2017
イベント20th International Conference on Extending Database Technology, EDBT 2017 - Venice, Italy
継続期間: 2017 3 212017 3 24

出版物シリーズ

名前Advances in Database Technology - EDBT
2017-March
ISSN(電子版)2367-2005

Other

Other20th International Conference on Extending Database Technology, EDBT 2017
国/地域Italy
CityVenice
Period17/3/2117/3/24

ASJC Scopus subject areas

  • 情報システム
  • ソフトウェア
  • コンピュータ サイエンスの応用

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