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Computer Science > Cryptography and Security

arXiv:2308.16298 (cs)
[Submitted on 30 Aug 2023 (v1), last revised 1 Sep 2023 (this version, v2)]

Title:Publishing Wikipedia usage data with strong privacy guarantees

Authors:Temilola Adeleye, Skye Berghel, Damien Desfontaines, Michael Hay, Isaac Johnson, Cléo Lemoisson, Ashwin Machanavajjhala, Tom Magerlein, Gabriele Modena, David Pujol, Daniel Simmons-Marengo, Hal Triedman
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Abstract:For almost 20 years, the Wikimedia Foundation has been publishing statistics about how many people visited each Wikipedia page on each day. This data helps Wikipedia editors determine where to focus their efforts to improve the online encyclopedia, and enables academic research. In June 2023, the Wikimedia Foundation, helped by Tumult Labs, addressed a long-standing request from Wikipedia editors and academic researchers: it started publishing these statistics with finer granularity, including the country of origin in the daily counts of page views. This new data publication uses differential privacy to provide robust guarantees to people browsing or editing Wikipedia. This paper describes this data publication: its goals, the process followed from its inception to its deployment, the algorithms used to produce the data, and the outcomes of the data release.
Comments: 11 pages, 10 figures, Theory and Practice of Differential Privacy (TPDP) 2023
Subjects: Cryptography and Security (cs.CR)
Cite as: arXiv:2308.16298 [cs.CR]
  (or arXiv:2308.16298v2 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2308.16298

Submission history

From: Hal Triedman [view email]
[v1] Wed, 30 Aug 2023 19:58:56 UTC (135 KB)
[v2] Fri, 1 Sep 2023 18:07:46 UTC (135 KB)
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