Semantic Scholar Open Access 2021 36 sitasi

Adtech and Real-Time Bidding under European Data Protection Law

Michael Veale Frederik Zuiderveen Borgesius

Abstrak

Citation: Michael Veale and Frederik Zuiderveen Borgesius, ‘Adtech and Real-Time Bidding under European Data Protection Law’ [2021] German Law Journal.This paper discusses the troubled relationship between contemporary advertising technology (adtech) systems, in particular systems of real-time bidding (RTB, also known as programmatic advertising) underpinning much behavioural targeting on the web and through mobile applications. This paper analyses the extent to which practices of RTB are compatible with the requirements regarding (i) a legal basis for processing, transparency, and security in European data protection law. We first introduce the technologies at play through explaining and analysing the systems deployed online today. Following that, we turn to the law. Rather than analyse RTB against every provision of the General Data Protection Regulation (GDPR), we consider RTB in the context of the GDPR’s requirement of a legal basis for processing and the GDPR’s transparency and security requirements. We show, first, that the GDPR requires prior consent of the internet user for RTB, as other legal bases are not appropriate. Second, we show that it is difficult – and perhaps impossible – for website publishers and RTB companies to meet the GDPR’s transparency requirements. Third, RTB incentivises insecure data processing. We conclude that, in concept and in practice, RTB is structurally difficult to reconcile with European data protection law. Therefore, intervention by regulators is necessary.

Topik & Kata Kunci

Penulis (2)

M

Michael Veale

F

Frederik Zuiderveen Borgesius

Format Sitasi

Veale, M., Borgesius, F.Z. (2021). Adtech and Real-Time Bidding under European Data Protection Law. https://doi.org/10.1017/glj.2022.18

Akses Cepat

Lihat di Sumber doi.org/10.1017/glj.2022.18
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
36×
Sumber Database
Semantic Scholar
DOI
10.1017/glj.2022.18
Akses
Open Access ✓