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A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps

, , , , , , , and . arXiv:2106.09407 cs, (June 2021)arXiv: 2106.09407.

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Tell Me What You Know: GDPR Implications on Designing Transparency and Accountability for News Recommender Systems., , , , , , and . CHI Extended Abstracts, ACM, (2019)Covid-19 and contact tracing apps: A review under the European legal framework., , , , , , and . CoRR, (2020)A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps., , , , , , , and . CoRR, (2021)The Bigger Picture: Approaches to Inter-organizational Data Protection Impact Assessment., , , and . DETIPS/DeSECSys/MPS/SPOSE@ESORICS, volume 12580 of Lecture Notes in Computer Science, page 283-293. Springer, (2020)A comparison of system description models for data protection by design., , , , , , and . SAC, page 1512-1515. ACM, (2019)DPMF: A Modeling Framework for Data Protection by Design., , , , , and . Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., (2020)A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps., , , , , , and . SOUPS @ USENIX Security Symposium, page 181-196. USENIX Association, (2021)"How I Know For Sure": People's Perspectives on Solely Automated Decision-Making (SADM)., , , and . SOUPS @ USENIX Security Symposium, page 159-180. USENIX Association, (2021)Demonstration of the DPMF for Data Protection Analysis., , , , and . MoDELS (Companion), page 75-79. IEEE, (2023)An Architectural View for Data Protection by Design., , , , , , and . ICSA, page 11-20. IEEE, (2019)