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Citizen privacy framework = case of ...

Kaskina, Aigul.

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Citizen privacy framework = case of a fuzzy-based recommender system for political participation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Citizen privacy framework/ by Aigul Kaskina.
Reminder of title:	case of a fuzzy-based recommender system for political participation /
Author:	Kaskina, Aigul.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvii, 110 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computer security. -
Online resource:	https://doi.org/10.1007/978-3-031-06021-2
ISBN:	9783031060212

Citizen privacy framework = case of a fuzzy-based recommender system for political participation /
Kaskina, Aigul.

Citizen privacy frameworkcase of a fuzzy-based recommender system for political participation /[electronic resource] :by Aigul Kaskina. - Cham :Springer International Publishing :2022. - xvii, 110 p. :ill., digital ;24 cm. - Fuzzy management methods,2196-4149. - Fuzzy management methods..

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.

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.

ISBN: 9783031060212

Standard No.: 10.1007/978-3-031-06021-2doiSubjects--Topical Terms:

540555
Computer security.

LC Class. No.: QA76.9.A25 / K37 2022

Dewey Class. No.: 005.8

Citizen privacy framework = case of a fuzzy-based recommender system for political participation /
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505 0 $a 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.
520 $a 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.
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