由用户，为用户：以用户为中心的网站隐私量化方法
By the user, for the user: A user-centric approach to quantifying the privacy of websites
摘要：
第三方跟踪在几乎所有商业运营的网站上都很常见。先前的工作已经详细研究了第三方跟踪在网络上的程度，第三方跟踪器的检测以及防御第三方跟踪。现有的研究和工具也试图告知网络用户跟踪器及其隐私侵犯的程度。然而，现有的工具没有考虑到用户对网络上跟踪器的程度的感知和理解。考虑到这些因素对于这些工具的可用性非常重要，这样用户就可以在合理和必要的程度上意识到并保护自己，这与他们对跟踪器的整体舒适度相一致。在本文中，我们通过对43名用户的在线调查，得出用户对不同网站上不同跟踪器的看法和偏好。我们使用这些数据来引导隐私评分系统。该评分系统根据所访问的网站类型，对跟踪器的使用情况和页面内用户数据向第三方的分散情况进行加权。我们的工作提出了一个概念验证的方法和工具来计算一个以用户为中心的隐私评分与初步引导用户数据。最后，我们提出了具体的未来方向。
英文摘要：
Third-party tracking is common on almost all commercially operated websites. Prior work has studied in detail the extent of third-party tracking on the web, detection of third-party trackers, and defending against third-party tracking. Existing research and tools have also attempted to inform web users of trackers and the extent of their privacy violations. However, existing tools do not take into account users' perceptions of and understanding of the extent of trackers on the web. Taking these factors into account is important for the usability of such tools so that users can be aware and protect themselves to a reasonable and necessary extent that aligns with their overall comfort with trackers. In this paper, we elicit user perceptions and preferences about different trackers on various websites through an online survey of 43 users. We use this data to bootstrap a privacy scoring system. This scoring system weights the usage of trackers and the dispersion of user data within a page to third parties, with the type of website being visited. Our work presents a proof-of-concept methodology and tool to calculate a user-centric privacy score with preliminary bootstrap user data. We conclude with concrete future directions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
