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Discoverability and Algorithmic Recommendations in Video Streaming Platforms: Exploring Algorithmic Gender and Race Bias as a Canadian Broadcast Policy Concern.

Authors :
Kulvi, Fizza
Bannerman, Sara
Hirji, Faiza
Muddaluru, Manveetha
Appiah, Emmanuel
Greenfield, Leandra
Rzepecki, Erica
Quail, Christine
Source :
Canadian Journal of Communication. Dec2023, Vol. 48 Issue 4, p632-662. 31p.
Publication Year :
2023

Abstract

Background: In 2023, the Canadian government passed legislation empowering the Canadian Radio-television and Telecommunications Commission (CRTC) to require streaming platforms to ensure the “discoverability” of Canadian content. These debates about discoverability provisions primarily focused on the promotion of Canadian content, with little emphasis on gender and racial equity. Analysis: Through interviews with stakeholders in the Canadian screen industry, we explore views on recommendation systems and questions of gender and race bias in streaming recommendations. Conclusion and implications: Interviews revealed concerns beyond promoting “Canadian” content that the broadcast reform initiative focuses on, including concerns about streaming recommendations’ tendencies to promote a narrow range of content and their failure to “see” and recommend content from racialized women. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07053657
Volume :
48
Issue :
4
Database :
Academic Search Index
Journal :
Canadian Journal of Communication
Publication Type :
Academic Journal
Accession number :
174190278
Full Text :
https://doi.org/10.3138/cjc-2022-0054