Martin Degeling

CR
h-index17
3papers
507citations
Novelty37%
AI Score26

3 Papers

33.4HCSep 5, 2019Code
(Un)informed Consent: Studying GDPR Consent Notices in the Field

Christine Utz, Martin Degeling, Sascha Fahl et al.

Since the adoption of the General Data Protection Regulation (GDPR) in May 2018 more than 60 % of popular websites in Europe display cookie consent notices to their visitors. This has quickly led to users becoming fatigued with privacy notifications and contributed to the rise of both browser extensions that block these banners and demands for a solution that bundles consent across multiple websites or in the browser. In this work, we identify common properties of the graphical user interface of consent notices and conduct three experiments with more than 80,000 unique users on a German website to investigate the influence of notice position, type of choice, and content framing on consent. We find that users are more likely to interact with a notice shown in the lower (left) part of the screen. Given a binary choice, more users are willing to accept tracking compared to mechanisms that require them to allow cookie use for each category or company individually. We also show that the wide-spread practice of nudging has a large effect on the choices users make. Our experiments show that seemingly small implementation decisions can substantially impact whether and how people interact with consent notices. Our findings demonstrate the importance for regulation to not just require consent, but also provide clear requirements or guidance for how this consent has to be obtained in order to ensure that users can make free and informed choices.

12.4CRNov 21, 2018
The Unwanted Sharing Economy: An Analysis of Cookie Syncing and User Transparency under GDPR

Tobias Urban, Dennis Tatang, Martin Degeling et al.

The European General Data Protection Regulation (GDPR), which went into effect in May 2018, leads to important changes in this area: companies are now required to ask for users' consent before collecting and sharing personal data and by law users now have the right to gain access to the personal information collected about them. In this paper, we study and evaluate the effect of the GDPR on the online advertising ecosystem. In a first step, we measure the impact of the legislation on the connections (regarding cookie syncing) between third-parties and show that the general structure how the entities are arranged is not affected by the GDPR. However, we find that the new regulation has a statistically significant impact on the number of connections, which shrinks by around 40%. Furthermore, we analyze the right to data portability by evaluating the subject access right process of popular companies in this ecosystem and observe differences between the processes implemented by the companies and how they interpret the new legislation. We exercised our right of access under GDPR with 36 companies that had tracked us online. Although 32 companies (89%) we inquired replied within the period defined by law, only 21 (58%) finished the process by the deadline set in the GDPR. Our work has implications regarding the implementation of privacy law as well as what online tracking companies should do to be more compliant with the new regulation.

3.3CYJan 24, 2016
Your Interests According to Google - A Profile-Centered Analysis for Obfuscation of Online Tracking Profiles

Martin Degeling, Thomas Herrmann

Profiling users for the purpose of targeted advertisements or other kinds of personalization is very popular on the internet. But besides the benefits of individually tailored news feeds and shopping recommendation research has shown that many users consider this practice as privacy infringement. Profiling is often conducted without consent and services offer neither information about what the profile looks like nor which effects it might have. In this paper we argue that understanding profiling and thus interacting with the resulting profiles fosters a privacy literacy that is necessary for users to stay autonomous in the information society. We analyze the extent of interest profiling by google and develop a countermeasures that helps to obfuscate these profiles. To do so we analyzed a links lists from a social bookmarking service with regard to the interests they reveal. We found that, although the profiling by google is very unstable we can still use the information to obfuscate the profile.