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E-Democracy – Safeguarding Democracy and Human Rights in the Digital Age

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Cover of 'E-Democracy – Safeguarding Democracy and Human Rights in the Digital Age'

Table of Contents

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    Book Overview
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    Chapter 1 Big Data Analytics: From Threatening Privacy to Challenging Democracy
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    Chapter 2 What Do We Know About Our Rights to Data Protection? A Greek Case Study
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    Chapter 3 A Case Study of Intra-library Privacy Issues on Android GPS Navigation Apps
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    Chapter 4 A Constraint-Based Model for the Frequent Itemset Hiding Problem
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    Chapter 5 A Smart Cross Border e-Gov Primary Health Care Medical Service
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    Chapter 6 Blended Learning and Open Courseware for Promoting Interoperability in Public Services
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    Chapter 7 How to Do It Right: A Framework for Biometrics Supported Border Control
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    Chapter 8 A Method for Assessing the Openness of Semi-Open Data Initiatives: Applied to the Justice Domain
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    Chapter 9 TrustedEVoting (TeV) a Secure, Anonymous and Verifiable Blockchain-Based e-Voting Framework
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    Chapter 10 Attitudes of Polish Voters Towards Introduction of e-Voting in the Context of Political Factors
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    Chapter 11 A Revised Forensic Process for Aligning the Investigation Process with the Design of Forensic-Enabled Cloud Services
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    Chapter 12 Towards Designing a Knowledge Graph-Based Framework for Investigating and Preventing Crime on Online Social Networks
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    Chapter 13 A Prototype Framework for Assessing Information Provenance in Decentralised Social Media: The EUNOMIA Concept
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    Chapter 14 Fighting Biased Online News: Lessons from Online Participation and Crowdsourcing
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    Chapter 15 Can EU Data Protection Legislation Help to Counter “Fake News” and Other Threats to Democracy?
Attention for Chapter 1: Big Data Analytics: From Threatening Privacy to Challenging Democracy
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Chapter title
Big Data Analytics: From Threatening Privacy to Challenging Democracy
Chapter number 1
Book title
E-Democracy – Safeguarding Democracy and Human Rights in the Digital Age
Published by
Springer, Cham, December 2019
DOI 10.1007/978-3-030-37545-4_1
Book ISBNs
978-3-03-037544-7, 978-3-03-037545-4
Authors

Paola Mavriki, Maria Karyda, Mavriki, Paola, Karyda, Maria

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 19%
Student > Master 3 11%
Professor > Associate Professor 2 7%
Lecturer 1 4%
Professor 1 4%
Other 4 15%
Unknown 11 41%
Readers by discipline Count As %
Social Sciences 8 30%
Business, Management and Accounting 3 11%
Computer Science 2 7%
Linguistics 1 4%
Decision Sciences 1 4%
Other 1 4%
Unknown 11 41%