Multi-Stakeholder Dialogue for Policy Recommendations on Algorithmic Fairness-Reference-Cited by-同舟云学术

Multi-Stakeholder Dialogue for Policy Recommendations on Algorithmic Fairness

Published:2018-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Social Media and Society
language:
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Author:

Webb Helena¹,Koene Ansgar²,Patel Menisha¹,Vallejos Elvira Perez³

Affiliation:

1. University of Oxford, Department of Computer Science, Oxford, UK

2. University of Nottingham, Horizon Digital Economy Research Institute, Nottingham, UK

3. University of Nottingham, NIHR Nottingham Biomedical Research Centre, Nottingham, UK

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3217804.3217952

Reference11 articles.

1. Sapna Maheshwari. 2016. How fake news goes viral. A case study. The New York Times online at https://www.nytimes.com/2016/11/20/business/media/how-fake-news-spreads.html Sapna Maheshwari. 2016. How fake news goes viral. A case study. The New York Times online at https://www.nytimes.com/2016/11/20/business/media/how-fake-news-spreads.html

2. Burst the filter bubble;Adee Sally;New Scientist,2016

3. Alex Hern. 2018. Breach leaves Facebook users wondering: how safe is my data? The Guardian online 18 March Alex Hern. 2018. Breach leaves Facebook users wondering: how safe is my data? The Guardian online 18 March

4. Coping With Paradox

5. Global Rule-Setting for Business: A Critical Analysis of Multi-Stakeholder Standards

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