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Policing in the Era of AI and Smart Societies

Overview of attention for book
Cover of 'Policing in the Era of AI and Smart Societies'

Table of Contents

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    Book Overview
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    Chapter 1 Rethinking Criminal Justice in Cyberspace: The EU E-evidence Framework as a New Model of Cross-Border Cooperation in Criminal Matters
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    Chapter 2 Policing in the Era of AI and Smart Societies: Austerity; Legitimacy and Blurring the Line of Consent
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    Chapter 3 Behavioural Analytics: A Preventative Means for the Future of Policing
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    Chapter 4 Securing Transparency and Governance of Organ Supply Chain Through Blockchain
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    Chapter 5 IoT and Cloud Forensic Investigation Guidelines
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    Chapter 6 Algorithms Can Predict Domestic Abuse, But Should We Let Them?
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    Chapter 7 Tackling Teen Sexting—Policing Challenges When Society and Technology Outpace Legislation
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    Chapter 8 Image Recognition in Child Sexual Exploitation Material—Capabilities, Ethics and Rights
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    Chapter 9 Predictive Policing in 2025: A Scenario
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    Chapter 10 Patterns in Policing
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    Chapter 11 Proposed Forensic Guidelines for the Investigation of Fake News
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    Chapter 12 Current Challenges of Modern-Day Domestic Abuse
Attention for Chapter 7: Tackling Teen Sexting—Policing Challenges When Society and Technology Outpace Legislation
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Citations

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Readers on

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11 Mendeley
Summary Dimensions citations
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Chapter title
Tackling Teen Sexting—Policing Challenges When Society and Technology Outpace Legislation
Chapter number 7
Book title
Policing in the Era of AI and Smart Societies
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-50613-1_7
Book ISBNs
978-3-03-050612-4, 978-3-03-050613-1
Authors

Emma Bond, Andy Phippen, Bond, Emma, Phippen, Andy

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Professor 1 9%
Unknown 7 64%
Readers by discipline Count As %
Social Sciences 2 18%
Psychology 1 9%
Computer Science 1 9%
Unknown 7 64%

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