Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems-Reference-Cited by-同舟云学术

Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 ACM Conference on Fairness, Accountability, and Transparency
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Author:

Pang Rock Yuren¹^ORCID,Cenatempo Jack²^ORCID,Graham Franklyn³^ORCID,Kuehn Bridgette³^ORCID,Whisenant Maddy³^ORCID,Botchway Portia³^ORCID,Stone Perez Katie³^ORCID,Koenecke Allison⁴^ORCID

Affiliation:

1. University of Washington, USA

2. Microsoft Research, USA

3. Microsoft Corporation – Xbox Division, USA

4. Cornell University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594098

Reference92 articles.

1. Himan Abdollahpouri and Robin Burke . 2019. Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. CoRR abs/1907.13158 ( 2019 ). arXiv:1907.13158http://arxiv.org/abs/1907.13158 Himan Abdollahpouri and Robin Burke. 2019. Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness. CoRR abs/1907.13158 (2019). arXiv:1907.13158http://arxiv.org/abs/1907.13158

2. Abhishek. 2022. Video game metadata: All you need to know. https://www.gameopedia.com/everything-about-video-game-metadata/ Abhishek. 2022. Video game metadata: All you need to know. https://www.gameopedia.com/everything-about-video-game-metadata/

3. Truth Is a Lie: Crowd Truth and the Seven Myths of Human Annotation

4. Natã M. Barbosa and Monchu Chen. 2019. Rehumanized Crowdsourcing: A Labeling Framework Addressing Bias and Ethics in Machine Learning . In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19) . Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300773 10.1145/3290605.3300773 Natã M. Barbosa and Monchu Chen. 2019. Rehumanized Crowdsourcing: A Labeling Framework Addressing Bias and Ethics in Machine Learning. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300773