國立虎尾科技大學 |

Citizen Privacy Framework = Case of a Fuzzy-based Recommender System for Political Participation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Citizen Privacy Framework/ by Aigul Kaskina.
其他題名:	Case of a Fuzzy-based Recommender System for Political Participation /
作者:	Kaskina, Aigul.
面頁冊數:	XVII, 110 p. 33 illus., 27 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data and Information Security. -
電子資源:	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. - 1st ed. 2022. - XVII, 110 p. 33 illus., 27 illus. in color.online resource. - 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:

1365785
Data and Information Security.

LC Class. No.: HF54.5-.56

Dewey Class. No.: 658.4038

Citizen Privacy Framework = Case of a Fuzzy-based Recommender System for Political Participation /
LDR:02612nam a22004095i 4500 001 1083180
003 DE-He213
005 20220915152317.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783031060212 $9 978-3-031-06021-2
024 7 $a 10.1007/978-3-031-06021-2 $2 doi
035 $a 978-3-031-06021-2
050 4 $a HF54.5-.56
072 7 $a KJQ $2 bicssc
072 7 $a COM005030 $2 bisacsh
072 7 $a KJQ $2 thema
082 0 4 $a 658.4038 $2 23
100 1 $a Kaskina, Aigul. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1389096
245 1 0 $a Citizen Privacy Framework $h [electronic resource] : $b Case of a Fuzzy-based Recommender System for Political Participation / $c by Aigul Kaskina.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XVII, 110 p. 33 illus., 27 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Fuzzy Management Methods, $x 2196-4149
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.
650 2 4 $a Data and Information Security. $3 1365785
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 1365738
650 2 4 $a Computer and Information Systems Applications. $3 1365732
650 1 4 $a Business Information Systems. $3 669204
650 0 $a Data protection. $3 557764
650 0 $a Social sciences—Data processing. $3 1280453
650 0 $a Application software. $3 528147
650 0 $a Business information services. $3 654161
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783031060205
776 0 8 $i Printed edition: $z 9783031060229
776 0 8 $i Printed edition: $z 9783031060236
830 0 $a Fuzzy Management Methods, $x 2196-4130 $3 1258300
856 4 0 $u https://doi.org/10.1007/978-3-031-06021-2
912 $a ZDB-2-BUM
912 $a ZDB-2-SXBM
950 $a Business and Management (SpringerNature-41169)
950 $a Business and Management (R0) (SpringerNature-43719)