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Tackling Compliance Deficits of Data-Protection Law with User Collaboration - A Feasibility Demonstration with Human Participants

机译:使用用户协作应对数据保护法的合规性赤字 - 与人类参与者的可行性示范

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In the recent past, there have been frequent reports on privacy violations by service providers on the Web. The providers are overstrained with the legal implications of processing personal data. Data-protection authorities in turn are overburdened with the enforcement of the regulations. Users themselves typically cannot identify those violations, due to missing expertise in data-protection law. In this paper we propose and evaluate CAPE (Collaborative Access to Privacy Enhancement), an approach that makes data-protection law accessible to all parties involved in the processing of personal information. To this end, we transform legal expertise on data protection into intuitive questions that anyone can answer. CAPE is 'Web 2.0', in the sense that individuals answer the questions they can, and they benefit from the answers of others. To identify violations, we compare the answers to answer patterns defined apriori that indicate a violation. The main innovation is the combination of Web 2.0 functionality with the structured approach (sequences of closed questions in particular) lawyers use to identify violations. In extensive user studies, we show that users can identify 81% of those violations legal experts find. Further, individuals answer our questions with a high degree of agreement, independent from their background knowledge.
机译:在最近的过去,Web上的服务提供商已经有关于隐私违规的常规报告。提供者受到处理个人数据的法律影响。数据保护当局反过来又负担过重负担的规定。由于数据保护法中缺少专业知识,用户本身通常无法识别这些违规行为。在本文中,我们提出并评估了CAPE(协作获取隐私提升),这一方法使得所有涉及个人信息的各方都可以访问的数据保护法。为此,我们将数据保护的法律专业知识转换为任何人可以回答的直观问题。 Cape是'Web 2.0',在这个意义上,个人回答他们所能的问题,他们受益于他人的答案。要识别违规行为,我们将答案进行比较回答定义的Apriori的答案,表示违规。主要创新是Web 2.0功能与结构化方法(特别是封闭式问题的序列)律师用于识别违规行为。在广泛的用户学习中,我们表明用户可以识别81%的违规行为的法律专家。此外,个人通过高度协议回答我们的问题,独立于他们的背景知识。

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