Personalized transparency: A scoping review of approaches to personalized privacy disclosures

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Authors: Meihe Xu, Clement Guitton, Aurelia Tamò‐Larrieux, Christoph Lutz
Cited by: 1
References: 50

Abstract

Transparency requirements are a central building block of privacy regulations across the world. In practice, though, the transparency practices of service providers and sellers have well-known limitations, from being too complex to being too long. With personalization technologies, personalizing information disclosures emerges as a promising solution to address individuals’ information needs. Nevertheless, a literature review regarding the concept of “personalized transparency,” its practical implementations, and the current state of research in the field is in need. To bridge this gap, we conducted an interdisciplinary scoping review and identified 42 relevant publications that address personalized transparency. We analyzed the source, proposed tools, functions, and the context of personalized transparency, along with preparatory work. Based on the scoping review, we identified five key functions of personalized transparency: the core functions of explanation, user control, and personalized disclosure, and the supplementary functions of personalized recommendation and automated decision-making. Personalized transparency can be defined as the practice of tailoring information disclosure to individual users’ preferences in order to enhance their understanding and control. Additionally, we discuss legal and design implications of our findings and future research on personalized transparency.

Fields of Study & Subjects

Privacy Security and Data Protection E-Government and Public Services Ethics and Social Impacts of AI

Publication details

Journal / source
Computer law & security review
Publisher
Elsevier BV
Volume
60
Pages
106265–106265
Publication date
10 February 2026
Language
EN