Does the GDPR Enhance Consumers’ Control over Personal Data? An Analysis from a Behavioural Perspective
Author
Abstract
Suggested Citation
DOI: 10.1007/s10603-018-9399-7
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- 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.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- 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.
- 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.
- Siddharth Tiwari & Sharad Sharma & Siddharth Shetty & Frank Packer, 2022. "The design of a data governance system," BIS Papers, Bank for International Settlements, number 124.
- 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.
- 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.
- Tara Merk, 2024. "Why to DAO: a narrative analysis of the drivers of tokenized Exit to Community," Papers 2407.14327, arXiv.org.
- 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.
- 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.- 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).
- 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.
- Buhmann, Alexander & Fieseler, Christian, 2021. "Towards a deliberative framework for responsible innovation in artificial intelligence," Technology in Society, Elsevier, vol. 64(C).
- Cobbe, Jennifer & Veale, Michael & Singh, Jatinder, 2023. "Understanding Accountability in Algorithmic Supply Chains," SocArXiv p4sey, Center for Open Science.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Rolf H. Weber, 2021. "Artificial Intelligence ante portas: Reactions of Law," J, MDPI, vol. 4(3), pages 1-14, September.
- 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).
- Matus, Kira & Veale, Michael, 2021. "Certification Systems for Machine Learning: Lessons from Sustainability," SocArXiv pm3wy, Center for Open Science.
- 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.
- 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).
- Veale, Michael & Binns, Reuben & Van Kleek, Max, 2018. "Some HCI Priorities for GDPR-Compliant Machine Learning," LawArXiv wm6yk, Center for Open Science.
More about this item
Keywords
Individual control; EU data protection law; GDPR; Decision-making; Behavioural economics;All these keywords.
Statistics
Access and download statisticsCorrections
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.