A Systematic Review of Privacy Policy Literature

IF 23.8 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

ACM Computing Surveys Pub Date : 2024-10-01 DOI:10.1145/3698393

Yousra Javed, Ayesha Sajid

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引用次数: 0

Abstract

An organization’s privacy policy states how it collects, stores, processes, and shares its users’ personal information. The growing number of data protection laws and regulations as well as the numerous sectors where the organizations are collecting user information, has led to the investigation of privacy policies with regards to their accessibility, readability, completeness, comparison with organization’s actual data practices, use of machine learning/natural language processing for automated analysis, and comprehension/perception/concerns of end-users via summarization/visualization tools and user studies. However, there is limited work on systematically reviewing the existing research on this topic. We address this gap by conducting a systematic review of the existing privacy policy literature. To this end, we compiled and analyzed 202 papers (published till 31 st December 2023) that investigated privacy policies. Our work advances the field of privacy policies by summarizing the analysis techniques that have been used to study them, the data protection laws/regulations explored, and the sectors to which these policies pertain. We provide actionable insights for organizations to achieve better end-user privacy.

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隐私政策文献的系统回顾

一个组织的隐私政策说明了它如何收集、存储、处理和共享用户的个人信息。随着数据保护法律法规的不断增多，以及企业收集用户信息的领域不断扩大，人们开始对隐私政策的可访问性、可读性、完整性、与企业实际数据实践的比较、机器学习/自然语言处理在自动分析中的应用，以及最终用户通过总结/可视化工具和用户研究对隐私政策的理解/感知/关注等方面进行研究。然而，系统回顾有关这一主题的现有研究的工作十分有限。针对这一空白，我们对现有的隐私政策文献进行了系统回顾。为此，我们汇编并分析了 202 篇研究隐私政策的论文（发表至 2023 年 12 月 31 日）。我们的工作总结了用于研究隐私政策的分析技术、所探讨的数据保护法律/法规以及这些政策所涉及的行业，从而推动了隐私政策领域的发展。我们为企业提供了可操作的见解，以实现更好的最终用户隐私保护。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Computing Surveys 工程技术-计算机：理论方法

CiteScore

33.20

自引率

0.60%

发文量

372

审稿时长

12 months

期刊介绍： ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.