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SoK: Three Facets of Privacy Policies

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 41-56 (16 pages)

Publication milestones

  • Published - 11/2020

Publication status

Published - 11/2020

Publisher

Association for Computing Machinery, United States

Book series

  • Book series name: Proceedings of the 19th Workshop on Privacy in the Electronic Society 2020

Publication IDs

  • Scopus: 85097254323

Host publication title

WPES'20: Proceedings of the 19th Workshop on Privacy in the Electronic Society

Abstract

Privacy policies are the main way to obtain information related to personal data collection and processing. Originally, privacy policies were presented as textual documents. However, the unsuitability of this format for the needs of today's society gave birth to other means of expression. In this paper, we systematically study the different means of expression of privacy policies. In doing so, we have explored the three main categories, which we call facets, i.e., natural language, graphical and machine-readable privacy policies. Each of these facets focuses on the particular needs of the communities they come from, ie, law experts, organizations and privacy advocates, and academics, respectively. We then analyze the benefits and limitations of each facet, and explain why solutions based on a single facet do not cover the needs of other communities. Finally, we set guidelines and discuss challenges of an approach to expressing privacy policies which brings together the benefits of each facet as an attempt to overcome their limitations.

Publication metrics

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Citations
20
Captures
33

Related Event

Title

Workshop on Privacy in the Electronic Society

Event type

Workshop

Degree of recognition

International event

Date

09/11/2020

Location

VIRTUAL