The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
US agencies buy vast quantities of personal information on the open market – a legal scholar explains why and what it means for privacy in the age of AI
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“Meanwhile, law enforcement agencies in the U.S. and other jurisdictions have purchased commercial data -including from wearables-to conduct location tracking, raising concerns about discriminatory surveillance of racial and ethnic minorities 58 .”
From Privacy in consumer wearable technologies: a living systematic analysis of data policies across leading manufacturers (2025) · cites this paper as [58]
Citations
Cites
Internet of behaviours (IoB) and its role in customer services
Javaid, M., Haleem, A., Singh, R. P., Rab, S., & Suman, R. (2021) · Sensors International · doi:10.1016/j.sintl.2021.100122 · Cited by 80
Internet of Behavior (IoB): A Survey
Halgekar, A., Chouhan, A., Khetan, I., Bhatia, J., Shah, N., & Srivastava, K. (2021) · International Conference on Information Systems and Computer Networks (ISCON) · doi:10.1109/iscon52037.2021.9702450 · Cited by 15
Cited by
Doherty, C., Baldwin, M., Lambe, R., Altini, M., & Caulfield, B. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01757-1 · Cited by 55
Metadata
- Authors
- McKenna, A.
- Affiliations
- University of Richmond
- Publisher
- The Conversation Media Group Ltd
- Published
- 2023-06-29
- Cited by
- 0
- References
- 2
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: US agencies buy vast quantities of personal information on the open market – a legal scholar explains why and what it means for privacy in the age of AI. https://app.cochat.ai/papers/10.64628/aai.rt5569r5x
- The paper
- McKenna, A. (2023). US agencies buy vast quantities of personal information on the open market – a legal scholar explains why and what it means for privacy in the age of AI. https://doi.org/10.64628/aai.rt5569r5x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
