Algorithmic Arbitrariness in Content Moderation-Reference-Cited by-同舟云学术

Algorithmic Arbitrariness in Content Moderation

Published:2024-06-03 Issue: Volume:20 Page:2234-2253
ISSN:
Container-title:The 2024 ACM Conference on Fairness, Accountability, and Transparency
language:
Short-container-title:

Author:

Gomez Juan Felipe¹^ORCID,Machado Caio²^ORCID,Paes Lucas Monteiro³^ORCID,Calmon Flavio³^ORCID

Affiliation:

1. Department of Physics, Harvard University, United States of America

2. Centre for Socio-Legal Studies, School of Engineering and Applied Sciences, Law School, Oxford University; Harvard University; Universidade de São Paulo, United Kingdom

3. School of Engineering and Applied Sciences, Harvard University, United States of America

Funder

National Science Foundation

FAI

Economic and Social Research Council (ESRC) Doctoral Training Parternship

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES)

CIF

U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Department of Energy Computational Science Graduate Fellowship

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630106.3659036

Reference72 articles.

1. Optuna

2. United Nations General Assembly. 1966. International Covenant on Civil and Political Rights. https://www.ohchr.org/en/instruments-mechanisms/instruments/international-covenant-civil-and-political-rights

3. United Nations General Assembly. 2022. Tackling Online Hate Speech through Content Moderation: The Legal Framework Under the International Covenant on Civil and Political Rights. https://papers.ssrn.com/abstract=4150909

4. Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination

5. Emily Black, John Logan Koepke, Pauline Kim, Solon Barocas, and Mingwei Hsu. forthcoming. Less Discriminatory Algorithms. Washington University in St. Louis Legal Studies2 (forthcoming). https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4590481