IDEAS home Printed from https://ideas.repec.org/a/kap/jcopol/v42y2019i1d10.1007_s10603-018-9399-7.html
   My bibliography  Save this article

Does the GDPR Enhance Consumers’ Control over Personal Data? An Analysis from a Behavioural Perspective

Author

Listed:
  • I. Ooijen

    (Twente University)

  • Helena U. Vrabec

    (Yale University
    Leiden University)

Abstract

Because of increased technological complexities and multiple data-exploiting business practices, it is hard for consumers to gain control over their own personal data. Therefore, individual control over personal data has become an important subject in European privacy law. Compared to its predecessor, the General Data Protection Regulation (GDPR) addresses the need for more individual control over personal data more explicitly. With the introduction of several new principles that seem to empower individuals in gaining more control over their data, its changes relative to its predecessors are substantial. It appears, however, that, to increase individual control, data protection law relies on certain assumptions about human decision making. In this work, we challenge these assumptions and describe the actual mechanisms of human decision making in a personal data context. Further, we analyse the extent to which new provisions in the GDPR effectively enhance individual control through a behavioural lens. To guide our analysis, we identify three stages of data processing in the data economy: (1) the information receiving stage, (2) the approval and primary use stage, and (3) the secondary use (reuse) stage. For each stage, we identify the pitfalls of human decision-making that typically emerge and form a threat to individual control. Further, we discuss how the GDPR addresses these threats by means of several legal provisions. Finally, keeping in mind the pitfalls in human decision-making, we assess how effective the new legal provisions are in enhancing individual control. We end by concluding that these legal instruments seem to have made a step towards more individual control, but some threats to individual control remain entrenched in the GDPR.

Suggested Citation

  • I. Ooijen & Helena U. Vrabec, 2019. "Does the GDPR Enhance Consumers’ Control over Personal Data? An Analysis from a Behavioural Perspective," Journal of Consumer Policy, Springer, vol. 42(1), pages 91-107, March.
  • Handle: RePEc:kap:jcopol:v:42:y:2019:i:1:d:10.1007_s10603-018-9399-7
    DOI: 10.1007/s10603-018-9399-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10603-018-9399-7
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10603-018-9399-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Edwards, Lilian & Veale, Michael, 2017. "Slave to the Algorithm? Why a 'right to an explanation' is probably not the remedy you are looking for," LawArXiv 97upg, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marc Alier & Maria Jose Casañ Guerrero & Daniel Amo & Charles Severance & David Fonseca, 2021. "Privacy and E-Learning: A Pending Task," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    2. H. Li & A. Nill, 2020. "Online Behavioral Targeting: Are Knowledgeable Consumers Willing to Sell Their Privacy?," Journal of Consumer Policy, Springer, vol. 43(4), pages 723-745, December.
    3. Siddharth Tiwari & Sharad Sharma & Siddharth Shetty & Frank Packer, 2022. "The design of a data governance system," BIS Papers, Bank for International Settlements, number 124.
    4. I. Benöhr, 2020. "The United Nations Guidelines for Consumer Protection: Legal Implications and New Frontiers," Journal of Consumer Policy, Springer, vol. 43(1), pages 105-124, March.
    5. Haifei Yu & Shanshan Zheng & Hao Wu, 2023. "User Privacy Awareness, Incentive and Data Supply Chain Pricing Strategy," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    6. Tara Merk, 2024. "Why to DAO: a narrative analysis of the drivers of tokenized Exit to Community," Papers 2407.14327, arXiv.org.
    7. Claire M. Segijn & Joanna Strycharz & Amy Riegelman & Cody Hennesy, 2021. "A Literature Review of Personalization Transparency and Control: Introducing the Transparency–Awareness–Control Framework," Media and Communication, Cogitatio Press, vol. 9(4), pages 120-133.
    8. Philipp Lorenz-Spreen & Stephan Lewandowsky & Cass R. Sunstein & Ralph Hertwig, 2020. "How behavioural sciences can promote truth, autonomy and democratic discourse online," Nature Human Behaviour, Nature, vol. 4(11), pages 1102-1109, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. König, Pascal D. & Wenzelburger, Georg, 2021. "The legitimacy gap of algorithmic decision-making in the public sector: Why it arises and how to address it," Technology in Society, Elsevier, vol. 67(C).
    2. Hazel Si Min Lim & Araz Taeihagh, 2019. "Algorithmic Decision-Making in AVs: Understanding Ethical and Technical Concerns for Smart Cities," Sustainability, MDPI, vol. 11(20), pages 1-28, October.
    3. Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
    4. Cobbe, Jennifer & Veale, Michael & Singh, Jatinder, 2023. "Understanding Accountability in Algorithmic Supply Chains," SocArXiv p4sey, Center for Open Science.
    5. Kirsten Martin & Ari Waldman, 2023. "Are Algorithmic Decisions Legitimate? The Effect of Process and Outcomes on Perceptions of Legitimacy of AI Decisions," Journal of Business Ethics, Springer, vol. 183(3), pages 653-670, March.
    6. Vesnic-Alujevic, Lucia & Nascimento, Susana & Pólvora, Alexandre, 2020. "Societal and ethical impacts of artificial intelligence: Critical notes on European policy frameworks," Telecommunications Policy, Elsevier, vol. 44(6).
    7. Veale, Michael, 2017. "Logics and practices of transparency and opacity in real-world applications of public sector machine learning," SocArXiv 6cdhe, Center for Open Science.
    8. Söderlund, Kasia & Engström, Emma & Haresamudram, Kashyap & Larsson, Stefan & Strimling, Pontus, 2024. "Regulating high-reach AI: On transparency directions in the Digital Services Act," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 13(1), pages 1-31.
    9. Mazur Joanna, 2019. "Automated Decision-Making and the Precautionary Principle in EU Law," TalTech Journal of European Studies, Sciendo, vol. 9(4), pages 3-18, December.
    10. Daniela Sele & Marina Chugunova, 2023. "Putting a Human in the Loop: Increasing Uptake, but Decreasing Accuracy of Automated Decision-Making," Rationality and Competition Discussion Paper Series 438, CRC TRR 190 Rationality and Competition.
    11. Frederik Zuiderveen Borgesius & Joost Poort, 2017. "Online Price Discrimination and EU Data Privacy Law," Journal of Consumer Policy, Springer, vol. 40(3), pages 347-366, September.
    12. Veale, Michael & Van Kleek, Max & Binns, Reuben, 2018. "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making," SocArXiv 8kvf4, Center for Open Science.
    13. Kira J.M. Matus & Michael Veale, 2022. "Certification systems for machine learning: Lessons from sustainability," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 177-196, January.
    14. Larisa Găbudeanu & Iulia Brici & Codruța Mare & Ioan Cosmin Mihai & Mircea Constantin Șcheau, 2021. "Privacy Intrusiveness in Financial-Banking Fraud Detection," Risks, MDPI, vol. 9(6), pages 1-22, June.
    15. Rolf H. Weber, 2021. "Artificial Intelligence ante portas: Reactions of Law," J, MDPI, vol. 4(3), pages 1-14, September.
    16. Janssen, Patrick & Sadowski, Bert M., 2021. "Bias in Algorithms: On the trade-off between accuracy and fairness," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238032, International Telecommunications Society (ITS).
    17. Matus, Kira & Veale, Michael, 2021. "Certification Systems for Machine Learning: Lessons from Sustainability," SocArXiv pm3wy, Center for Open Science.
    18. Vasiliki Koniakou, 2023. "From the “rush to ethics” to the “race for governance” in Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(1), pages 71-102, February.
    19. Koefer, Franziska & Lemken, Ivo & Pauls, Jan, 2023. "Fairness in algorithmic decision systems: A microfinance perspective," EIF Working Paper Series 2023/88, European Investment Fund (EIF).
    20. Veale, Michael & Binns, Reuben & Van Kleek, Max, 2018. "Some HCI Priorities for GDPR-Compliant Machine Learning," LawArXiv wm6yk, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:jcopol:v:42:y:2019:i:1:d:10.1007_s10603-018-9399-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.