Publishing Wikipedia usage data with strong privacy guarantees
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Aug 2023.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.
4 papers.
- 2024Private Synthetic Text Generation with Diffusion Modelscited by 10
- 2024On the Privacy of Selection Mechanisms with Gaussian Noisecited by 3
- 2025PETLP: A Privacy-by-Design Pipeline for Social Media Data in AI Researchcited by 1
- 2026Can R'enyi Accountants Beat Lossless Accountants for DP-SGD?cited by 0
- 2026Can R'enyi Accountants Beat Lossless Accountants for DP-SGD?12 Oct 2026
- 2025PETLP: A Privacy-by-Design Pipeline for Social Media Data in AI Research12 Aug 2025
- 2024Private Synthetic Text Generation with Diffusion Models30 Oct 2024
- 2024On the Privacy of Selection Mechanisms with Gaussian Noise9 Feb 2024