Université de Fribourg

A Fuzzy-Based User Privacy Framework and Recommender System : Case of a Platform for Political Participation

Kaskina, Aigul ; Meier, Andreas (Dir.)

Thèse de doctorat : Université de Fribourg, 2018 ; no. 2098.

When entering a new era of digital societies, a vast number of digital footprints left by users becomes a new source of the economic good. A heavy exploitation of Big data, artificial intelligence, cognitive computing, amongst others, makes the data more valuable implying that the risk to people’s privacy will be ever-increasing. Especially, when their privacy decisions are confronted with...

Université de Fribourg

Exploring nuances of user privacy preferences on a platform for political participation

Kaskina, Aigul

(Internal working papers / DIUF ; 17-02)

A problematic gap between existing online privacy controls and actual user disclosure behavior motivates researchers to focus on a design and development of intelligent privacy controls. These intelligent controls intend to decrease the burden of privacy decision-making and generate user-tailored privacy suggestions. To do so, at first it is necessary to analyze user privacy preferences. Previous...