conference-paper

Personalization, Bias and Privacy

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Abstract

Personalization can be seen as a positive bias towards each user. However, it also has negative consequences such as privacy loss as well as the filter bubble or echo chamber effect due to the feedback-loop that creates. In addition, the web system itself can bias the user interaction distorting the data used for personalization. In this presentation we discuss the interaction of these three elements: personalization, bias and privacy.

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Publication details

DOI
10.1145/3386392.3399994
OpenAlex
W3042460124
Document type
conference-paper
Language
EN
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