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Citizen Privacy Framework: Case of a Fuzzy-Based Recommender System for Political Participation
Aigul Kaskina
(Author)
·
Springer
· Hardcover
Citizen Privacy Framework: Case of a Fuzzy-Based Recommender System for Political Participation - Kaskina, Aigul
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Origin: U.S.A.
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Synopsis "Citizen Privacy Framework: Case of a Fuzzy-Based Recommender System for Political Participation"
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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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