An Empirical Analysis of E-Governments’ Cookie Interfaces in 50 Countries

Author:

Alharbi Juna AlhumaidiORCID,Albesher Abdulmohsen SaudORCID,Wahsheh Heider AhmadORCID

Abstract

Cookies have been used by websites to store information about user behavior. Although they provide several benefits, including improving user experience, they can threaten user privacy, particularly when websites use third-party cookies for data analysis. Websites must inform their users about what data are collected and how they are used through the cookie interface. Thus, it is important to understand the effects of cookie interface design on user behavior to verify whether these interfaces provide users with the required information to make an informed decision. In this paper, we evaluated the cookie interfaces of 243 E-Government websites based on well-defined guidelines to understand the critical factors designers should consider when designing cookie interfaces. To evaluate the cookies interfaces’ usability, we selected one of the inspection-based methods called the individual expert review method. The results showed that European websites are more compliant with the adopted guidelines. Surprisingly, more than 50% of the websites did not provide a cookie interface to their users, while more than 40% did not provide a privacy policy. The primary finding of this study is that over 90% of the websites use dark patterns in their interfaces. The study concludes with some recommendations to help in designing a usable privacy interface.

Funder

King Faisal University

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference69 articles.

1. Pantelic, O., Jovic, K., and Krstovic, S. (2022). Cookies implementation analysis and the impact on user privacy regarding GDPR and CCPA regulations. Sustainability, 14.

2. Dabrowski, A., Merzdovnik, G., Ullrich, J., Sendera, G., and Weippl, E. (2019). International Conference on Passive and Active Network Measurement, Springer.

3. Habib, H., and Cranor, L.F. (2022, January 7–9). Evaluating the usability of privacy choice mechanisms. Proceedings of the Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022), Boston, MA, USA.

4. Millett, L.I., Friedman, B., and Felten, E. (April, January 31). Cookies and web browser design: Toward realizing informed consent online. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Seattle, WA, USA.

5. Privacy by design: The definitive workshop. A foreword by Ann Cavoukian, Ph.D;Cavoukian;Identity Inf. Soc.,2010

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