Open AccessUnderstanding Online Privacy—A Systematic Review of Privacy Visualizations and Privacy by Design GuidelinesOpen Access
Author(s)
Susanne Barth,
Dan Ionita,
Pieter H. Hartel
Publication year2022
Publication title
acm computing surveys
Resource typeJournals
PublisherAssociation for Computing Machinery
Privacy visualizations help users understand the privacy implications of using an online service. Privacy by Design guidelines provide generally accepted privacy standards for developers of online services. To obtain a comprehensive understanding of online privacy, we review established approaches, distill a unified list of 15 privacy attributes and rank them based on perceived importance by users and privacy experts. We then discuss similarities, explain notable differences, and examine trends in terms of the attributes covered. Finally, we show how our results provide a foundation for user-centric privacy visualizations, inspire best practices for developers, and give structure to privacy policies.
Subject(s)computer science , information privacy , internet privacy , privacy by design , privacy policy , privacy software , world wide web
Language(s)English
SCImago Journal Rank2.079
H-Index163
ISSN0360-0300
DOI10.1145/3502288
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