Lattice-based Contextual Integrity Analysis of Social Network Privacy Policies

Stephen Kaplan, Dylan Bulmer, Avery Gosselin, S. Ghanavati
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引用次数: 1

Abstract

More than four billion users use online social networks (OSNs) and integrate themselves into their ecosystems. Consequently, these users are increasingly tasked with understanding the implications of their consenting to the privacy practices of OSNs via privacy policies. However, privacy policies are often vague and confusing to users, leading to misconceptions and gaps in users’ understanding of privacy practices. In this paper, we propose the Lattice-Based Contextual Integrity Analysis (LCIA) framework to help make quantitative determinations about how likely an OSN’s privacy policy is to mislead users with regard to its information flow practices, relative to other OSNs. We evaluated LCIA with 13 OSNs’ privacy policies and identified that OSNs with more privacy-violating information flow practices are more likely to mislead users through ambiguous statements, thereby exposing them to greater privacy risk.
基于格的社交网络隐私策略上下文完整性分析
超过40亿用户使用在线社交网络(osn),并将自己融入其生态系统。因此,这些用户越来越需要理解他们通过隐私政策同意osn的隐私实践的含义。然而,隐私政策往往含糊不清,让用户感到困惑,导致用户对隐私实践的理解存在误解和差距。在本文中,我们提出了基于格的上下文完整性分析(LCIA)框架,以帮助定量确定相对于其他OSN而言,OSN的隐私策略在信息流实践方面误导用户的可能性。我们用13个osn的隐私政策对LCIA进行了评估,发现具有更多侵犯隐私信息流实践的osn更有可能通过模棱两可的声明误导用户,从而使他们面临更大的隐私风险。
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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