The Perfect Match? A Closer Look at the Relationship between EU Consumer Law and Data Protection Law
- URL: http://arxiv.org/abs/2510.13466v1
- Date: Wed, 15 Oct 2025 12:13:35 GMT
- Title: The Perfect Match? A Closer Look at the Relationship between EU Consumer Law and Data Protection Law
- Abstract summary: In modern markets, many companies offer so-called 'free' services and monetize consumer data they collect through those services.<n>This paper argues that consumer law and data protection law can usefully complement each other.
- Score: 0.8076386449963743
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In modern markets, many companies offer so-called 'free' services and monetize consumer data they collect through those services. This paper argues that consumer law and data protection law can usefully complement each other. Data protection law can also inform the interpretation of consumer law. Using consumer rights, consumers should be able to challenge excessive collection of their personal data. Consumer organizations have used consumer law to tackle data protection infringements. The interplay of data protection law and consumer protection law provides exciting opportunities for a more integrated vision on 'data consumer law'.
Related papers
- Let My Data Go: Data Brokers' Compliance with Opt-Out and Deletion Requests [9.601311112679367]
Data brokers are a largely American phenomenon.<n>California Consumer Privacy Act (CCPA) modeled after EU's General Data Protection Regulation.<n>Some data brokers require intrusive consumer identity verification in order to exercise one's opt-out rights.
arXiv Detail & Related papers (2026-07-05T23:52:18Z) - Privacy Without Remedy: An Assessment of Data Broker Compliance with California Privacy Law [4.524476021202175]
We offer the first empirical assessment of data broker compliance with the California Consumer Privacy Act and the 2023 Delete Act.<n>We show that only 9% of registered data brokers were fully compliant with transparency requirements after the Delete Act took effect.<n>We articulate reforms that could improve consumer privacy, transparency in broker practices, and compliance with these laws.
arXiv Detail & Related papers (2026-05-20T16:39:19Z) - Consumer Rights and Algorithms [0.09444500584367876]
This article summarizes the field of consumer protection law, from its historical roots to the contemporary challenges of the digital age.<n>It outlines the legal doctrines governing consumer deception and unfair trade practices, highlighting the interplay between common-law, statutory, and private modes of regulation.
arXiv Detail & Related papers (2026-02-22T14:19:44Z) - Consumer Beware! Exploring Data Brokers' CCPA Compliance [8.562189001930745]
The California Consumer Privacy Act (CCPA) grants consumers the legal right to request access to, or deletion of, their data.<n>To facilitate these requests, California maintains an official registry of data brokers.<n>This paper presents the first large-scale, systematic study of CCPA compliance of all 543 officially registered data brokers.
arXiv Detail & Related papers (2025-06-27T04:57:32Z) - Data Traceability for Privacy Alignment [1.1970748626806043]
We offer a new privacy approach for the growing ecosystem of services dependent on personal data sharing between individuals and third parties.<n>We introduce the concept of covert-accountability, which addresses the risk from adversaries that may act dishonestly but nevertheless face potential identification and legal consequences.<n>We present the OTrace protocol, designed to provide traceable, accountable, consumer-control in third-party data sharing ecosystems.
arXiv Detail & Related papers (2025-03-12T20:42:23Z) - The Patterns of Digital Deception [0.0]
New data-analysis techniques have disrupted the balance of power between companies and their customers.<n>Online tracking enables sellers to amass troves of historical data, apply machine-learning tools to construct detailed customer profiles.<n>The same tools are also used for ill -- to target vulnerable members of the population with scams specially tailored to prey on their weaknesses.
arXiv Detail & Related papers (2024-12-25T15:55:17Z) - Measuring Compliance with the California Consumer Privacy Act Over Space and Time [7.971611687303297]
The California Consumer Privacy Act (CCPA) mandates that online businesses offer consumers the option to opt out of the sale and sharing of personal information.
Our study automatically tracks the presence of the opt-out link longitudinally across multiple states after the California Privacy Rights Act (CPRA) went into effect.
We find a number of websites that implement the opt-out link early and across all examined states but also find a significant number of CCPA-subject websites that fail to offer any opt-out methods even when CCPA is in effect.
arXiv Detail & Related papers (2024-03-25T21:57:31Z) - SoK: The Gap Between Data Rights Ideals and Reality [42.769107967436945]
Do rights-based privacy laws effectively empower individuals over their data?<n>This paper scrutinizes these approaches by reviewing empirical studies, news articles, and blog posts.
arXiv Detail & Related papers (2023-12-03T21:52:51Z) - Protecting User Privacy in Online Settings via Supervised Learning [69.38374877559423]
We design an intelligent approach to online privacy protection that leverages supervised learning.
By detecting and blocking data collection that might infringe on a user's privacy, we can restore a degree of digital privacy to the user.
arXiv Detail & Related papers (2023-04-06T05:20:16Z) - Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the
Age of CCPA [29.56312492076473]
Vagueness and ambiguity in privacy policies threaten the ability of consumers to make informed choices about how businesses collect, use, and share personal information.
The California Consumer Privacy Act (CCPA) of 2018 was intended to provide Californian consumers with more control by mandating that businesses clearly disclose their data practices.
Our results suggest that CCPA's mandates for privacy disclosures, as currently implemented, have not yet yielded the level of clarity they were designed to deliver.
arXiv Detail & Related papers (2021-09-28T15:40:57Z) - Second layer data governance for permissioned blockchains: the privacy
management challenge [58.720142291102135]
In pandemic situations, such as the COVID-19 and Ebola outbreak, the action related to sharing health data is crucial to avoid the massive infection and decrease the number of deaths.
In this sense, permissioned blockchain technology emerges to empower users to get their rights providing data ownership, transparency, and security through an immutable, unified, and distributed database ruled by smart contracts.
arXiv Detail & Related papers (2020-10-22T13:19:38Z) - Face to Purchase: Predicting Consumer Choices with Structured Facial and
Behavioral Traits Embedding [53.02059906193556]
We propose to predict consumers' purchases based on their facial features and purchasing histories.
We design a semi-supervised model based on a hierarchical embedding network to extract high-level features of consumers.
Our experimental results on a real-world dataset demonstrate the positive effect of incorporating facial information in predicting consumers' purchasing behaviors.
arXiv Detail & Related papers (2020-07-14T06:06:41Z) - A vision for global privacy bridges: Technical and legal measures for
international data markets [77.34726150561087]
Despite data protection laws and an acknowledged right to privacy, trading personal information has become a business equated with "trading oil"
An open conflict is arising between business demands for data and a desire for privacy.
We propose and test a vision of a personal information market with privacy.
arXiv Detail & Related papers (2020-05-13T13:55:50Z) - Beyond privacy regulations: an ethical approach to data usage in
transportation [64.86110095869176]
We describe how Federated Machine Learning can be applied to the transportation sector.
We see Federated Learning as a method that enables us to process privacy-sensitive data, while respecting customer's privacy.
arXiv Detail & Related papers (2020-04-01T15:10:12Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.