Data Power is a conceptual framework within the political philosophy of technology that identifies and analyzes the mechanisms through which data collection, processing, and algorithmic governance enable asymmetric control, influence, and authority over individuals and social structures in digital societies.
176
Publications
18.2K
Citations
354
Authors
201
Institutions
Publications per year
2017–2026
107
Publications
176
Minna Ruckenstein, Natasha Dow Schüll · Annual Review of Anthropology · 2017 · 463 citations · Full text
1–5 of 176
Authors
354
- GF
5
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- HK
5
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- MT
5
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- EF
3
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- LD
3
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1–5 of 354
Institutions
201
University of Sheffield
Sheffield, United Kingdom
7 h-index
11 publications
602 citations
University of California, Irvine
Irvine, United States
4 h-index
4 publications
234 citations
University of Washington
Seattle, United States
4 h-index
4 publications
414 citations
KTH Royal Institute of Technology
Stockholm, Sweden
4 h-index
6 publications
75 citations
The University of Sydney
Sydney, Australia
4 h-index
7 publications
374 citations
Queen Mary University of London
London, United Kingdom
3 h-index
3 publications
429 citations
University of Leeds
Leeds, United Kingdom
3 h-index
3 publications
196 citations
Budapest University of Technology and Economics
Budapest, Hungary
3 h-index
3 publications
49 citations
1–8 of 201
Venues
- Big Data & Society
14 publications · 1.3K citations
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- Internet Policy Review
6 publications · 627 citations
6
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- Television & New Media
TVNM · 6 publications · 164 citations
6
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- Journal of Lightwave Technology
4 publications · 278 citations
4
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- Proceedings of the ACM on Human-Computer Interaction
PACMHCI · 4 publications · 129 citations
4
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1–5