Citizen Privacy Framework - Case of a Fuzzy-based Recommender System for Political Participation (Hardcover, 1st ed. 2022)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Fuzzy Management Methods
Release date:	September 2022
First published:	2022
Authors:	Aigul Kaskina
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	110
Edition:	1st ed. 2022
ISBN-13:	978-3-03-106020-5
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Computer communications & networking > Network security Books > Business & Economics > Business & management > Business mathematics & systems > General Promotions
LSN:	3-03-106020-2
Barcode:	9783031060205

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