Protecting User Data: Analysing Consent Notices and Behavioural Patterns in E-commerce

Keywords:
Consent Notices, User Privacy, E-commerce, GDPR, Cookies

Abstract:
In recent years, e-commerce has made everyday life much easier by enabling quick and convenient shopping. However, this brings with it both advantages and risks. One of the biggest challenges is to protect user data. Thanks to the GDPR and the CCPA, users are given greater transparency and control over their data when interacting online.In this context, consent notices have become a key element of online interactions, providing users with clear information about how their data is being used. These notices often appear when visiting a website or when there are changes to the privacy policy, allowing users to make informed decisions about their privacy. Through properly designed notices, users are allowed to control their data and express their consent in a way that suits their needs and preferences. This represents an important step towards strengthening user trust in the online environment and improving privacy protection on the Internet.The research analyses in detail the acceptance of the use of cookies on the e-commerce site. It focuses on how users react to cookie notifications and what options they choose when deciding whether to accept or reject cookies. The goal of the research is a deeper understanding of user behaviour and preferences regarding privacy and data protection when shopping online

CITATION:

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E. Jovanović, M. Veinović, M. Jovanović, “Protecting User Data: Analysing Consent Notices and Behavioural Patterns in E-commerce,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 380-384. doi:10.15308/Sinteza-2024-380-384

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Jovanović, E., Veinović, M., Jovanović, M. (2024). Protecting User Data: Analysing Consent Notices and Behavioural Patterns in E-commerce. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-380-384

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