mlsanityData to 14 Oct 2026

Creation and Analysis of an International Corpus of Privacy Laws

arXiv 2206.14169 ↗First posted 28 Jun 2022cs.CLcited by 3

Not on the map. Why?

Abstract (arXiv)

The landscape of privacy laws and regulations around the world is complex and ever-changing. National and super-national laws, agreements, decrees, and other government-issued rules form a patchwork that companies must follow to operate internationally. To examine the status and evolution of this patchwork, we introduce the Government Privacy Instructions Corpus, or GPI Corpus, of 1,043 privacy laws, regulations, and guidelines, covering 182 jurisdictions. This corpus enables a large-scale quantitative and qualitative examination of legal foci on privacy. We examine the temporal distribution of when GPIs were created and illustrate the dramatic increase in privacy legislation over the past 50 years, although a finer-grained examination reveals that the rate of increase varies depending on the personal data types that GPIs address. Our exploration also demonstrates that most privacy laws respectively address relatively few personal data types, showing that comprehensive privacy legislation remains rare. Additionally, topic modeling results show the prevalence of common themes in GPIs, such as finance, healthcare, and telecommunications. Finally, we release the corpus to the research community to promote further study.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 12 of its 80 references that are in the map. First posted on arXiv 28 Jun 2022.

Builds on

12 of 80 references.

References · 12

  1. 2021LexGLUE: A Benchmark Dataset for Legal Language Understanding in Englishcited by 310
  2. 2021Lawformer: A Pre-trained Language Model for Chinese Legal Long Documentscited by 116
  3. 2021ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanationcited by 78
  4. 2019Question Answering for Privacy Policies: Combining Computational and Legal Perspectivescited by 67
  5. 2020A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answeringcited by 62
  6. 2018Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learningcited by 50
  7. 2020Privacy Policies over Time: Curation and Analysis of a Million-Document Datasetcited by 28
  8. 2022Corpus for Automatic Structuring of Legal Documentscited by 25
  9. 2020Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policiescited by 22
  10. 2021Robust Deep Reinforcement Learning for Extractive Legal Summarizationcited by 10
  11. 2021PyEuroVoc: A Tool for Multilingual Legal Document Classification with EuroVoc Descriptorscited by 6
  12. 2020Orchestrating NLP Services for the Legal Domaincited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 3.

3 papers.