隐私政策的三个方面

Victor Morel, Raúl Pardo
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引用次数: 9

摘要

隐私政策是获取与个人数据收集和处理相关信息的主要途径。最初,隐私政策以文本文档的形式呈现。然而,这种形式不适合当今社会的需要,催生了其他表达方式。本文系统地研究了隐私政策的不同表达方式。在此过程中,我们探索了三个主要类别,我们称之为方面,即自然语言、图形和机器可读的隐私策略。这些方面中的每一个都侧重于它们所来自的社区的特定需求,即法律专家、组织和隐私倡导者以及学者。然后,我们分析每个方面的优点和局限性,并解释为什么基于单个方面的解决方案不能满足其他社区的需求。最后,我们制定了指导方针,并讨论了表达隐私政策的方法所面临的挑战,该方法汇集了每个方面的好处,试图克服它们的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SoK: Three Facets of Privacy Policies
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.
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