Web Tracking Under the New Data Protection Law: Design Potentials at the Intersection of Jurisprudence and HCI

Abstract

The GDPR regulates at present the handling with personal data fundamentally new and thereby opens new leeway. At the same time, it creates great uncertainty among those affected. One example of this is web tracking: It helps designers to improve the utility and usability of their websites based on, in part, extensive (personal) data collection, or enable operators to finance them. Against this background, in this article we first show the practical relevance of web tracking by collecting the web trackers of the 100 most popular pages of each of the 28 EU member states. Building on this, we show which data these trackers collect and analyze their legal bases. Finally, we discuss possible consequences in design and architecture for fulfilling the legally outlined requirements, taking into account a user’s perspective.

From WHOIS to WHOWAS: A Large-Scale Measurement Study of Domain Registration Privacy under the GDPR

“…Different types of cookie notices were found to be displayed to visitors according to their country [39]. Recent works measured the impact of the GDPR on the online tracking ecosystem [55], [96] and advertising business [103], [102]. Some of our findings echo with the discoveries on the web, e.g., timely response to the GDPR.…”

The Role of IS in the Conflicting Interests Regarding GDPR

“…At the same time, GDPR has also given new drive to almost traditional research topics such as privacy policies as well as the issue of ''informed consent'' (Politou et al 2018;Utz et al 2019) and how to design for transparency (Jakobi et al 2019a). Also, in absence of the ePrivacy regulation, online tracking has come to focus on the context of GDPR (Degeling et al 2018;Ermakova et al 2018;Schelter and Kunegis 2018;Jakobi et al 2019b;Mhaidli et al 2019).…”

Constructing and Testing AI International Legal Education Coupling-Enabling Model

“…Knowledge mapping mainly focuses on how to use AI-related technology to acquire structured domain knowledge to meet the systematic knowledge base organization and management needs of intelligent parenting assistants, and at the same time, on the basis of the knowledge provided by the knowledge mapping for the analysis and determination of parenting problems, it combines the theories of psychology, pedagogy, and sociology to construct a comprehensive solution model for parenting problems. Figure 4 shows the architecture of the AI intelligent knowledge mapping system, which is mainly divided into the data collection layer [20], the knowledge mapping layer, and the dialog system layer; the data collection layer is responsible for the acquisition and management of international law education problems and theoretical data [21]. The knowledge mapping layer is responsible for constructing the knowledge map based on the data collected in the data layer.…”