Kaskina Citizen Privacy Framework

Case of a Fuzzy-based Recommender System for Political Participation
1. Auflage 2022
ISBN: 978-3-031-06021-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 110 Seiten, eBook

Reihe: Fuzzy Management Methods

This book presents the concept of a fuzzy-based recommender system for user account privacy settings that can be used for citizen participation on online political platforms. The elaborated components are exemplarily based on the needs of a political platform implemented during the presidential election in Ecuador. The book readdresses the issue of privacy paradox demonstrating that, indeed, users’ actual decisions of being private in most cases diverge with their initial privacy intentions. The two concepts presented in the book - the citizen privacy profile framework and the prototype fuzzy-based privacy settings recommender system - can be adapted by different organizations such as government institutions, NGOs, or private online service providers to meet their specific needs.   The book will be of interest to researchers and practitioners in the areas of usage modeling, privacy, system design, and for service providers in eDemocracy.

Zielgruppe

Research

Autoren/Hrsg.

Kaskina, Aigul

Inhaltsverzeichnis

Chapter 1. Introduction.- Chapter 2. Insights into Privacy Research.- Chapter 3. Citizen Privacy Profile Framework.- Chapter 4. Fuzzy-based Privacy Settings Recommender System.- Chapter 5. Conclusions.

Über Autor(innen)

Aigul Kaskina  acquired the degree of Doctor of Philosophy in Computer Science from University of Fribourg, Switzerland.  Currently she is working as a Data & AI scientist at Accenture based in Zurich, Switzerland. Her main focus is on data analytics, big data, artificial intelligence and machine learning.