A multidisciplinary definition of privacy labels
Journal article, 2022

Purpose This paper aims to present arguments about how a complex concept of privacy labeling can be a solution to the current state of privacy. Design/methodology/approach The authors give a precise definition of Privacy Labeling (PL), painting a panoptic portrait from seven different perspectives: Business, Legal, Regulatory, Usability and Human Factors, Educative, Technological and Multidisciplinary. They describe a common vision, proposing several important "traits of character" of PL as well as identifying "undeveloped potentialities", i.e. open problems on which the community can focus. Findings This position paper identifies the stakeholders of the PL and their needs with regard to privacy, describing how PL should be and look like to address these needs. Main aspects considered are the PL's educational power to change people's knowledge of privacy, tools useful for constructing PL and the possible visual appearances of PL. They also identify how the present landscape of privacy certifications could be improved by PL. Originality/value The authors adopt a multidisciplinary approach to defining PL as well as give guidelines in the form of goals, characteristics, open problems, starting points and a roadmap for creating the ideal PL.

Author

Johanna Johansen

University of Oslo

Tore Pedersen

The Norwegian Defence University College

Oslo New University College

Simone Fischer-Hübner

University of Gothenburg

Chalmers, Computer Science and Engineering (Chalmers), Information Security

Christian Johansen

Norwegian University of Science and Technology (NTNU)

Gerardo Schneider

University of Gothenburg

Chalmers, Computer Science and Engineering (Chalmers), Data Science and AI

Arnold Roosendaal

Privacy Company

Harald Zwingelberg

Unabhängiges Landeszentrum für Datenschutz Schleswig-Holstein

Anders Jakob Sivesind

University of Oslo

Josef Noll

University of Oslo

Information and Computer Security

2056-4961 (ISSN)

Vol. 30 3 452-469

Subject Categories (SSIF 2025)

Human Computer Interaction

DOI

10.1108/ics-06-2021-0080

More information

Latest update

6/27/2025