Citizen Privacy Framework

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Citizen Privacy Framework

Case of a Fuzzy-based Recommender System for Political Participation

Business mathematics and systems Computer security Network security Applied computing Computer applications in the social and behavioural sciences

Author: Aigul Kaskina

Dinosaur mascot

Collection: Fuzzy Management Methods

Language: English

Published by: Springer

Published on: 15th September 2022

Format: LCP-protected ePub

Size: 9 Mb

ISBN: 9783031060212


Introduction

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.

Privacy Paradox

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.

Key Concepts

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.

Target Audience

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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