WebTrackingScore: A Combined Web Tracking Risk Score System for Websites

Privacy awareness has increased in recent years. In many countries, websites warn users about their use of cookies and Web browsers provide mechanisms to protect user privacy. However, it is not easy for users to understand tracking risks associated with browsing a given website. To address this, several privacy scanners have emerged to evaluate the privacy practices of websites. However, the scores these scanners provide are often limited to a small number of Web tracking indicators and are thus incomplete. To overcome this limitation, in this paper, we present WebTrackingScore, which provides users with a simple and intuitive indication of the privacy risk associated with visiting a website from a tracking perspective. Its design is based on an in-depth analysis of tracking mechanisms and the behaviour of some of the most frequently visited sites. Based on WebTrackingScore, we have analysed how the most popular websites are classified.

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Institutions

Publication Details

Journal
Future Internet
Published
2024-12-25
DOI
https://doi.org/10.3390/fi17010003
Citations
1
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.78

Funders

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article

WebTrackingScore: A Combined Web Tracking Risk Score System for Websites

A. Cava, Antonio Ruiz‐Martínez
1 citations
Future Internet
Web Data Mining and Analysis
0.78
article

WebTrackingScore: A Combined Web Tracking Risk Score System for Websites

A. Cava, Antonio Ruiz‐Martínez
article en
1 citations

Abstract

Privacy awareness has increased in recent years. In many countries, websites warn users about their use of cookies and Web browsers provide mechanisms to protect user privacy. However, it is not easy for users to understand tracking risks associated with browsing a given website. To address this, several privacy scanners have emerged to evaluate the privacy practices of websites. However, the scores these scanners provide are often limited to a small number of Web tracking indicators and are thus incomplete. To overcome this limitation, in this paper, we present WebTrackingScore, which provides users with a simple and intuitive indication of the privacy risk associated with visiting a website from a tracking perspective. Its design is based on an in-depth analysis of tracking mechanisms and the behaviour of some of the most frequently visited sites. Based on WebTrackingScore, we have analysed how the most popular websites are classified.

Future InternetVol. 17(1)
Universidad de Murcia (ES)
European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 18%
Web Data Mining and Analysis
0.78
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