Applications (apps) of the Digital Sharing Economy (DSE), such as Uber, Airbnb, and TaskRabbit, have become a main enabler of economic growth and shared prosperity in modern-day societies. However, the complex exchange of goods, services, and data that takes place over these apps frequently puts their end-users' privacy at risk. Privacy policies of DSE apps are provided to disclose how private user data is being collected and handled. However, in reality, such policies are verbose and difficult to understand, leaving DSE users vulnerable to privacy intrusive practices. To address these concerns, in this paper, we propose an automated approach for annotating privacy policies in the DSE market. Our approach identifies data collection claims in these policies and maps them to the quality features of their apps. Visual and textual annotations are then used to further explain and justify these claims. The proposed approach is evaluated with 18 DSE app users. The results show that annotating privacy policies can significantly enhance their comprehensibility to the average DSE user. Our findings are intended to help DSE app developers to draft more comprehensible privacy policies as well as help their end-users to make more informed decisions in one of the fastest growing software ecosystems in the world.
翻译:数字共享经济(DSE)的应用(应用),如Uber、Airbnb和TlexRabbit等数字共享经济(DSE)的应用(应用),已成为现代社会经济增长和共同繁荣的主要促进因素,然而,这些应用的商品、服务和数据的复杂交换经常使其最终用户的隐私受到威胁。DSE应用的隐私政策旨在披露如何收集和处理私人用户数据。然而,在现实中,这种政策是含糊不清的,难以理解,使DSE用户易受隐私侵入做法的影响。为了解决这些问题,我们在本文件中提出了在DSE市场上说明隐私政策的自动化方法。我们的方法是查明这些政策中的数据收集主张,并将这些主张描绘成其应用程序的质量特征。然后用视觉和文字说明来进一步解释和说明这些主张。与18 DSE应用用户一道对拟议的方法进行了评价。结果显示,说明隐私政策可以大大提高它们与普通DSE用户的兼容性。我们的调查结果旨在帮助DSE应用开发商在DSE市场中起草更加清晰的隐私政策,作为最终的用户来帮助制定一种更加知情的软件。