印度新闻媒体专题网页的差异跟踪
Differential Tracking Across Topical Webpages of Indian News Media
摘要：
近年来，在线用户隐私和跟踪得到了广泛的研究，特别是由于欧盟和美国的隐私和个人数据相关立法，如《一般数据保护条例》、《电子隐私条例》和《加州消费者隐私法》。研究揭示了第一方和第三方在世界各地的网站上使用的新颖的跟踪和个人身份信息泄漏方法，以及在这些网站上进行跟踪的强度。然而，为了扩展到覆盖大部分的Web，大多数过去的研究集中在网站的主页，并没有深入研究其主题子页面的跟踪实践。大多数研究集中在全球北方市场，如欧盟和美国。像印度这样的大市场，覆盖了世界人口的20%，没有明确的隐私法，在这方面还没有研究过。我们的目标是解决这些差距，并专注于以下研究问题：跟踪印度新闻网站的主题子页面不同于他们的主页？第三方跟踪器是否更喜欢跟踪特定主题？这种偏好与这些主题子页面上显示的内容相似性相比如何？为了回答这些问题，我们提出了一种新的方法，自动提取和分类的印度新闻专题子页面的基础上，在其URL的细节。我们研究了确定的主题子页面，并将它们与其主页进行比较，以确定cookie注入和第三方嵌入和类型的强度。我们发现子页面之间的差异用户跟踪，以及子页面和主页之间。我们还发现第三方跟踪器对特定主题的偏好。此外，嵌入式第三方往往会同时跟踪特定的子页面，从而揭示可能的用户分析。
英文摘要：
Online user privacy and tracking have been extensively studied in recent years, especially due to privacy and personal data-related legislations in the EU and the USA, such as the General Data Protection Regulation, ePrivacy Regulation, and California Consumer Privacy Act. Research has revealed novel tracking and personal identifiable information leakage methods that first- and third-parties employ on websites around the world, as well as the intensity of tracking performed on such websites. However, for the sake of scaling to cover a large portion of the Web, most past studies focused on homepages of websites, and did not look deeper into the tracking practices on their topical subpages. The majority of studies focused on the Global North markets such as the EU and the USA. Large markets such as India, which covers 20% of the world population and has no explicit privacy laws, have not been studied in this regard. We aim to address these gaps and focus on the following research questions: Is tracking on topical subpages of Indian news websites different from their homepage? Do third-party trackers prefer to track specific topics? How does this preference compare to the similarity of content shown on these topical subpages? To answer these questions, we propose a novel method for automatic extraction and categorization of Indian news topical subpages based on the details in their URLs. We study the identified topical subpages and compare them with their homepages with respect to the intensity of cookie injection and third-party embeddedness and type. We find differential user tracking among subpages, and between subpages and homepages. We also find a preferential attachment of third-party trackers to specific topics. Also, embedded third-parties tend to track specific subpages simultaneously, revealing possible user profiling in action.
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。
