Algorithmic Inequality
Algorithmic Inequality is a theoretical construct within the study of digital divide that denotes systemic disparities in access to, participation in, or benefits derived from algorithmic systems, arising from asymmetrical design, deployment, or governance of computational decision-making processes across different social groups.
64
Publications
15.8K
Citations
150
Authors
92
Institutions
Publications per year
2017–2026
59
Parents
64
Algorithms of oppression: how search engines reinforce racism
Sanjay Sharma · Ethnic and Racial Studies · 2019 · 646 citations · Full text
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150
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University of North Carolina at Charlotte, United States
2 publications · 118 citations
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1
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1–5 of 150
92
New York University
New York, United States
3 h-index
4 publications
1.2K citations
University of Zurich
Zurich, Switzerland
3 h-index
5 publications
1.4K citations

BI Norwegian Business School
Oslo, Norway
3 h-index
4 publications
1.2K citations

University of Toronto
Toronto, Canada
2 h-index
5 publications
685 citations

University of Wisconsin–Milwaukee
Milwaukee, United States
2 h-index
3 publications
541 citations
University of British Columbia, Okanagan Campus
Kelowna, Canada
2 h-index
2 publications
252 citations
Michigan State University
East Lansing, United States
2 h-index
2 publications
61 citations

University of British Columbia
Vancouver, Canada
2 h-index
2 publications
252 citations
1–8 of 92
4 publications · 160 citations
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Repository · 2 publications · 1K citations
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ICS · 2 publications · 689 citations
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Repository · 2 publications · 29 citations
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2 publications · 376 citations
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