隐私、两极分化和分裂性法律的通过

Benjamin Johnson, Paul Laskowski
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引用次数: 0

摘要

对于边缘人群来说,隐私的概念尤其突出,尤其是当他们发现自己受到执法的不成比例的影响时。我们使用博弈论模型来探讨隐私、两极分化和法律分歧之间的联系。我们的框架是基于一群或多或少两极分化的公民。法律是根据其对每个公民的影响来定义的,必须得到多数人的支持才能通过。我们定义了一个分裂的概念,使我们能够衡量一项法律对不同公民群体不成比例的影响程度。我们的框架允许我们探索四种不同的隐私概念,其中两种来自技术措施,另两种来自法律理论。我们发现,隐私可以阻止某些分裂性法律的通过,但其效果在很大程度上取决于所使用的隐私类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy, Polarization, and Passage of Divisive Laws
Notions of privacy are particularly salient to marginalized groups of people, especially when they find themselves disproportionately affected by the enforcement of laws. We use game theoretic modeling to explore the connections between privacy, polarization, and the divisiveness of laws. Our framework is based on a population of citizens that may be more or less polarized. A law is defined in terms of its effect on each citizen and must gain support from a majority in order to pass. We define a notion of divisiveness which allows us to measure the extent to which a law disproportionately affects different groups of citizens. Our framework allows us to explore four distinct notions of privacy, two that result from technological measures and two that emerge from legal theory. We find that privacy can prevent the passage of certain divisive laws, but the effects depend strongly on which type of privacy is in use.
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