Publication

Information asymmetries: recognizing the limits of the GDPR on the data-driven market

Waerdt, van de, P., Sep-2020, In : Computer Law & Security Review. 38, 105436.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Waerdt, van de, P. (2020). Information asymmetries: recognizing the limits of the GDPR on the data-driven market. Computer Law & Security Review, 38, [105436]. https://doi.org/10.1016/j.clsr.2020.105436

Author

Waerdt, van de, Peter. / Information asymmetries : recognizing the limits of the GDPR on the data-driven market. In: Computer Law & Security Review. 2020 ; Vol. 38.

Harvard

Waerdt, van de, P 2020, 'Information asymmetries: recognizing the limits of the GDPR on the data-driven market', Computer Law & Security Review, vol. 38, 105436. https://doi.org/10.1016/j.clsr.2020.105436

Standard

Information asymmetries : recognizing the limits of the GDPR on the data-driven market. / Waerdt, van de, Peter.

In: Computer Law & Security Review, Vol. 38, 105436, 09.2020.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Waerdt, van de P. Information asymmetries: recognizing the limits of the GDPR on the data-driven market. Computer Law & Security Review. 2020 Sep;38. 105436. https://doi.org/10.1016/j.clsr.2020.105436


BibTeX

@article{b6e8992680c946cfa9da9c8b79902e93,
title = "Information asymmetries: recognizing the limits of the GDPR on the data-driven market",
abstract = "Online search engines, social media platforms, and targeted advertising services often employ a “data-driven” business model based on the large-scale collection, analysis, and monetization of personal data. When providing such services significant information asymmetries arise: data-driven companies collect much more personal data than the consumer knows or can reasonably oversee, and data-driven companies have much more (technical) information about how this data is processed than consumers would be able to understand. This article demonstrates the vulnerable position consumers continue to find themselves in as a result of information asymmetries between them and data-driven companies. The GDPR, by itself, is in practice unable to mitigate these information asymmetries, nor would it be able to provide for effective transparency, since it does not account for the unique characteristics of the data-driven business model. Consumers are thus faced with an insurmountable lack of transparency which is inherent in, as well as the inevitable consequence of, the magnitude of the information asymmetries present on the data-driven market.",
keywords = "information asymmetry, General Data Protection Regulation, Data-driven companies, transparency, behavioural profiling",
author = "{Waerdt, van de}, Peter",
year = "2020",
month = sep,
doi = "10.1016/j.clsr.2020.105436",
language = "English",
volume = "38",
journal = "Computer Law & Security Review",
issn = "1873-6734",

}

RIS

TY - JOUR

T1 - Information asymmetries

T2 - recognizing the limits of the GDPR on the data-driven market

AU - Waerdt, van de, Peter

PY - 2020/9

Y1 - 2020/9

N2 - Online search engines, social media platforms, and targeted advertising services often employ a “data-driven” business model based on the large-scale collection, analysis, and monetization of personal data. When providing such services significant information asymmetries arise: data-driven companies collect much more personal data than the consumer knows or can reasonably oversee, and data-driven companies have much more (technical) information about how this data is processed than consumers would be able to understand. This article demonstrates the vulnerable position consumers continue to find themselves in as a result of information asymmetries between them and data-driven companies. The GDPR, by itself, is in practice unable to mitigate these information asymmetries, nor would it be able to provide for effective transparency, since it does not account for the unique characteristics of the data-driven business model. Consumers are thus faced with an insurmountable lack of transparency which is inherent in, as well as the inevitable consequence of, the magnitude of the information asymmetries present on the data-driven market.

AB - Online search engines, social media platforms, and targeted advertising services often employ a “data-driven” business model based on the large-scale collection, analysis, and monetization of personal data. When providing such services significant information asymmetries arise: data-driven companies collect much more personal data than the consumer knows or can reasonably oversee, and data-driven companies have much more (technical) information about how this data is processed than consumers would be able to understand. This article demonstrates the vulnerable position consumers continue to find themselves in as a result of information asymmetries between them and data-driven companies. The GDPR, by itself, is in practice unable to mitigate these information asymmetries, nor would it be able to provide for effective transparency, since it does not account for the unique characteristics of the data-driven business model. Consumers are thus faced with an insurmountable lack of transparency which is inherent in, as well as the inevitable consequence of, the magnitude of the information asymmetries present on the data-driven market.

KW - information asymmetry

KW - General Data Protection Regulation

KW - Data-driven companies

KW - transparency

KW - behavioural profiling

U2 - 10.1016/j.clsr.2020.105436

DO - 10.1016/j.clsr.2020.105436

M3 - Article

VL - 38

JO - Computer Law & Security Review

JF - Computer Law & Security Review

SN - 1873-6734

M1 - 105436

ER -

ID: 128081203