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Citizen Privacy Framework : Case of a Fuzzy-based Recommender System for Political Participation / by Aigul Kaskina

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Fuzzy Management Methods | Springer eBook CollectionPublisher: Cham : Springer International Publishing, 2022Publisher: Cham : Imprint: Springer, 2022Description: 1 Online-Ressource (XVII, 110 p. 33 illus., 27 illus. in color.)ISBN:
  • 9783031060212
Uniform titles:
  • A fuzzy-based user privacy framework and recommender system
Subject(s): Genre/Form: Additional physical formats: 9783031060205 | 9783031060229 | 9783031060236 | Erscheint auch als: 9783031060205 Druck-Ausgabe | Erscheint auch als: 9783031060229 Druck-Ausgabe | Erscheint auch als: 9783031060236 Druck-AusgabeDOI: DOI: 10.1007/978-3-031-06021-2Online resources: Dissertation note: Dissertation - University of Fribourg, Switzerland, 2018 Summary: 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.Summary: 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.PPN: PPN: 1816989819Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-BUM | ZDB-2-SXBM
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Dissertation erschienen unter dem Titel: A fuzzy-based user privacy framework and recommender system: case of a platform for political participation

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