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Dataset: A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users' Privacy / Part1

Demir, Nurullah ORCID iD icon 1; Urban, Tobias; Pohlmann, Norbert; Wressnegger, Christian ORCID iD icon 1
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract:

Cookie notices (or cookie banners) are a popular mechanism for websites to provide (European) Internet users a tool to choose which cookies the site may set.
Banner implementations range from merely providing information that a site uses cookies over offering the choice to accepting or denying all cookies to allowing fine-grained control of cookie usage.
Users frequently get annoyed by the banner's pervasiveness as they interrupt ``natural'' browsing on the Web.
As a remedy, different browser extensions have been developed to automate the interaction with cookie banners.

In this work, we perform a large-scale measurement study comparing the effectiveness of extensions for ``cookie banner interaction.''
We configured the extensions to express different privacy choices (e.g., accepting all cookies, accepting functional cookies, or rejecting all cookies) to understand their capabilities to execute a user's preferences.
The results show statistically significant differences in which cookies are set, how many of them are set, and which types are set---even for extensions that aim to implement the same cookie choice.
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Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Forschungsdaten
Publikationsdatum 22.08.2023
Erstellungsdatum 29.08.2022 - 12.05.2023
Identifikator DOI: 10.35097/1708
KITopen-ID: 1000161545
Lizenz Creative Commons Namensnennung 4.0 International
Vorab online veröffentlicht am 18.08.2023
Liesmich

This repository hosts the dataset corresponding to the paper "A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users’ Privacy", which was published at the Privacy Enhancing Technologies Symposium (PETS) in 2024.

Art der Forschungsdaten Dataset
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