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Electronic Voting

Overview of attention for book
Cover of 'Electronic Voting'

Table of Contents

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    Book Overview
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    Chapter 1 Shifting the Balance-of-Power in STV Elections
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    Chapter 2 Random Errors Are Not Necessarily Politically Neutral
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    Chapter 3 Tripped at the Finishing Line: The Åland Islands Internet Voting Project
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    Chapter 4 Revisiting Practical and Usable Coercion-Resistant Remote E-Voting
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    Chapter 5 Privacy-Preserving Dispute Resolution in the Improved Bingo Voting
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    Chapter 6 Bayesian Audits Are Average But Risk-Limiting Audits are Above Average
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    Chapter 7 CHVote: Sixteen Best Practices and Lessons Learned
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    Chapter 8 A Unified Evaluation of Two-Candidate Ballot-Polling Election Auditing Methods
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    Chapter 9 Towards Model Checking of Voting Protocols in Uppaal
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    Chapter 10 E-Voting System Evaluation Based on the Council of Europe Recommendations: n Votes
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    Chapter 11 My Vote, My (Personal) Data: Remote Electronic Voting and the General Data Protection Regulation
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    Chapter 12 The Oxymoron of the Internet Voting in Illiberal and Hybrid Political Contexts
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    Chapter 13 Effective Cybersecurity Awareness Training for Election Officials
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    Chapter 14 Does Vote Verification Work: Usage and Impact of Confidence Building Technology in Internet Voting
Attention for Chapter 1: Shifting the Balance-of-Power in STV Elections
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Citations

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Chapter title
Shifting the Balance-of-Power in STV Elections
Chapter number 1
Book title
Electronic Voting
Published by
Springer, Cham, October 2020
DOI 10.1007/978-3-030-60347-2_1
Book ISBNs
978-3-03-060346-5, 978-3-03-060347-2
Authors

Michelle Blom, Andrew Conway, Peter J. Stuckey, Vanessa J. Teague

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Student > Bachelor 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Social Sciences 1 33%

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