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Benchmarking Privacy Policies in the Mobile Application Ecosystem

机译:在移动应用生态系统中对隐私策略进行基准测试

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Mobile app providers have access to, and gather, large amounts of personal data. The exact data varies by app provider and is described in lengthy privacy policies with varying levels of transparency. Privacy policies with a low level of transparency hamper users from making educated decisions about the data that they want to share with third parties. In this paper, the Privacy Policy Benchmark Model is presented based on existing literature and applied to a selection of 20 mobile applications and their privacy policies. The Privacy Policy Benchmark Model is used for evaluating the transparency and quantity of data that is collected. The model consists of two aspects: the amount of data mobile app provides collect and the transparency of those privacy policies. The examined providers are transparent about what they collected and how they use it. They are less transparent about other topics such as the location of the stored information and how information is processed after removal, making privacy and usage considerations more difficult for users on those specific matters.
机译:移动应用程序提供商可以访问和收集大量个人数据。确切的数据因应用程序提供商而异,并在冗长的隐私权政策中进行了说明,并具有不同的透明度。透明度较低的隐私策略会妨碍用户就他们要与第三方共享的数据做出明智的决定。在本文中,基于现有文献提出了隐私策略基准模型,并将其应用于20个移动应用程序及其隐私策略的选择。隐私策略基准模型用于评估所收集数据的透明度和数量。该模型包括两个方面:移动应用程序提供的数据收集量和这些隐私策略的透明度。被检查的提供者对于他们收集了什么以及如何使用它们是透明的。它们在其他主题(例如存储的信息的位置以及在删除后如何处理信息)方面不太透明,从而使用户在这些特定问题上的隐私和使用方面的考虑变得更加困难。

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