Discrimination in online ad delivery
Abstract
Google ads, black names and white names, racial discrimination, and click advertising.
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Third-party oversight work has led to voluntary moratoriums, lawsuits, regulatory action, congressional hearings, and recalls or redesigns of deployed algorithms.
“The impact of this work is undeniable -leading to voluntary moratoriums [30], and several successful lawsuits [75,79]; nation-wide waves of regulatory action and public outcry [74]; congressional hearings [3]; and the recalls or radical redesigns of the deployed algorithms [12,64,65,88].”
From Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance (2022) · cites this paper as [79]
Algorithmic profiling is problematic.
“This is not to say that algorithmic profiling is not problematic.”
From Artificial intelligence in support of the circular economy: ethical considerations and a path forward (2024) · cites this paper as Sweeney 2013
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Gender differences in participation and reward on Stack Overflow
May, A., Wachs, J., & Hannák, A. (2018) · Empirical Software Engineering · doi:10.1007/s10664-019-09685-x · Cited by 101 · see citing works
Baumer, E. P. S., & Brubaker, J. R. (2017) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025740 · Cited by 100 · see citing works
Ballard, S. A., Chappell, K. M., & Kennedy, K. (2019) · Designing Interactive Systems Conference · doi:10.1145/3322276.3323697 · Cited by 99 · see citing works
FairSquare: probabilistic verification of program fairness
Albarghouthi, A., D'Antoni, L., Drews, S., & Nori, A. V. (2017) · Proceedings of the ACM on Programming Languages · doi:10.1145/3133904 · Cited by 94 · see citing works
Tewell, E. C. (2018) · College & Research Libraries · doi:10.5860/crl.79.1.10 · Cited by 101 · see citing works
- Authors
- Sweeney, L.
- Affiliations
- Harvard University (US)
- Corresponding author
- Sweeney, Latanya
- ORCID
- Sweeney, Latanya
- Venue
- Communications of the ACM
- Published
- 2013-05
- Volume
- 56
- Issue
- 5
- Pages
- 44-54
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2095932468
- Cited by
- 783
- References
- 10
- Citations by year
- 2026: 30 · 2025: 53 · 2024: 61 · 2023: 109 · 2022: 78 · 2021: 84 · 2020: 91 · 2019: 82 · 2018: 69 · 2017: 53 · 2016: 37 · 2015: 18 · 2014: 16 · 2013: 2
- FWCI
- 63.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications of the ACM (publishedVersion)
- Funders
- Division of Computer and Network Systems (CNS-1237235)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Social Sciences › Law › Discrimination and Equality Law
- Keywords
- online advertising, racial discrimination, algorithmic discrimination, Google AdWords, algorithmic fairness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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