Examined Lives: Informational Privacy and the Subject as Object
Abstract
Julie E. Cohen, Examined Lives: Informational Privacy and the Subject as Object, Stanford Law Review, Vol. 52, No. 5, Symposium: Cyberspace and Privacy: A New Legal Paradigm? (May, 2000), pp. 1373-1438
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The Fair Credit Reporting Act (FCRA) allows individuals to correct errors in their records.
“while the Fair Credit Reporting Act (FCRA) allows individuals to correct errors in their records”
From Artificial Intelligence and Privacy (2024) · cites this paper as [98]
The FCRA does not challenge the foundational principles of credit scoring systems.
“it doesn ' t challenge the foundational principles of credit scoring systems. 98”
From Artificial Intelligence and Privacy (2024) · cites this paper as [98]
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- Authors
- Cohen, J. E.
- Affiliations
- Georgetown University (US)
- Corresponding author
- Cohen, Julie E.
- Venue
- Stanford Law Review
- Publisher
- JSTOR
- Published
- 2000-05
- Volume
- 52
- Issue
- 5
- Pages
- 1373
- ISSN
- 0038-9765 (ISSN-L)
- OpenAlex
- W3123734523
- Cited by
- 343
- References
- 0
- Citations by year
- 2026: 7 · 2025: 27 · 2024: 23 · 2023: 33 · 2022: 14 · 2021: 16 · 2020: 54 · 2019: 15 · 2018: 19 · 2017: 12 · 2016: 12 · 2015: 16 · 2014: 15 · 2013: 17 · 2012: 7
- FWCI
- 15.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Stanford Law Review (publishedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Law, Rights, and Freedoms
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- informational privacy, privacy law, personal data
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.
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