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Algorithms of oppression: how search engines reinforce racism: by Safiya Umoja Noble, New York, New York University Press, 2018,256 pp., $28 (paperback), ISBN: 9781479837243
Open accessAbstract
What can possibly be more mundane than a Google search? We use the search engine countless times day in day out, allowing it to classify, retrieve, rank and order the information we request. Trusti...
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Citations
Cited by
D'Ignazio, C., & Klein, L. F. (2020) · doi:10.7551/mitpress/11805.001.0001 · Cited by 1,738
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Greene, D., Hoffmann, A. L., & Stark, L. (2019) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2019.258 · Cited by 386
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Social Biases in NLP Models as Barriers for Persons with Disabilities
Hutchinson, B., Prabhakaran, V., Denton, E., Webster, K., Zhong, Y., & Denuyl, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.487 · Cited by 274
Enchanted Determinism: Power without Responsibility in Artificial Intelligence
Campolo, A., & Crawford, K. (2020) · Engaging Science, Technology, and Society · doi:10.17351/ests2020.277 · Cited by 254
Lawless: The Secret Rules That Govern Our Digital Lives
Suzor, N. P. (2019) · doi:10.1017/9781108666428 · Cited by 236
Discrimination, artificial intelligence, and algorithmic decision-making
Borgesius, F. Z. (2025) · arXiv · doi:10.48550/arxiv.2510.13465 · Cited by 152
“See also Noble 2018.”
The risks of using ChatGPT to obtain common safety-related information and advice
Oviedo-Trespalacios, O., Peden, A. E., Cole-Hunter, T., Costantini, A., Haghani, M., Rod, J. E., Kelly, S., Torkamaan, H., Tariq, A., David Albert Newton, J., et al. (2023) · Safety Science · doi:10.1016/j.ssci.2023.106244 · Cited by 148
Tuning EU equality law to algorithmic discrimination: Three pathways to resilience
Xenidis, R. (2020) · Maastricht Journal of European and Comparative Law · doi:10.1177/1023263x20982173 · Cited by 123
Earth for AI: A Political Ecology of Data-Driven Climate Initiatives
Nost, E., & Colven, E. (2022) · Geoforum · doi:10.1016/j.geoforum.2022.01.016 · Cited by 71
Koenig, A. (2020) · Computers and Composition · doi:10.1016/j.compcom.2020.102611 · Cited by 69
Generative AI in education: best practices for successful implementation
AlAli, R., Wardat, Y., Al-Saud, K., & Alhayek, K. A. (2024) · International Journal of Religion · doi:10.61707/pkwb8402 · Cited by 25
The right to audit and power asymmetries in algorithm auditing
Urman, A., Smirnov, I., & Lasser, J. (2024) · EPJ Data Science · doi:10.1140/epjds/s13688-024-00454-5 · Cited by 12
Hvenegaard Rasmussen, C., Rydbeck, K., & Larsen, H. (2022) · doi:10.4324/9781003188834 · Cited by 8
Hybrid Methodologies for Studying Social and Cultural Memory in the Postdigital Age
Merrill, S. (2025) · The Remaking of Memory in the Age of the Internet and Social Media · doi:10.1093/oso/9780197661260.003.0015 · Cited by 4
Metadata
- Authors
- Polynczuk-Alenius, K.
- Venue
- Information, Communication & Society
- Publisher
- Informa UK Limited
- Published
- 2019-03-22
- Volume
- 22
- Issue
- 13
- Pages
- 2030-2032
- ISSN
- 1369-118X (ISSN-L)
- 1468-4462
- OpenAlex
- W2925120181
- Cited by
- 316
- References
- 0
- Type
- book review
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
