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Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence
Routledge Handbook of Law and Terrorism, Pages: 147 - 162
Swansea University Author:
Stuart Macdonald
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Abstract
In today’s pre-crime society it is easy to understand the appeal of a technology that promises to identify terrorist plots and stop attacks before they happen – even when the would-be perpetrators have never previously attracted the attention of the authorities or aroused any suspicion (unknown unkn...
Published in: | Routledge Handbook of Law and Terrorism |
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Published: |
Abingdon
Routledge
2015
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Online Access: |
http://www.routledge.com/books/details/9780415870375/ |
URI: | https://cronfa.swan.ac.uk/Record/cronfa18076 |
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2019-02-04T14:23:50.4043118 v2 18076 2014-07-01 Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence 933e714a4cc37c3ac12d4edc277f8f98 0000-0002-7483-9023 Stuart Macdonald Stuart Macdonald true false 2014-07-01 LAWD In today’s pre-crime society it is easy to understand the appeal of a technology that promises to identify terrorist plots and stop attacks before they happen – even when the would-be perpetrators have never previously attracted the attention of the authorities or aroused any suspicion (unknown unknowns, in Rumsfeldian terminology). Mass dataveillance programmes – which have been the subject of much discussion and controversy since the Snowden revelations of 2013 – have been claimed to offer this degree of predictive potential. This chapter first of all examines the effectiveness of pattern-based queries, arguing that there are significant problems in terms of modelling, false positives and false negatives. Given that pattern-based queries involve suspicion-less searches of individuals’ data, the chapter then examines legal protection of the right to privacy in this context and considers the significance of these privacy-based concerns. Book chapter Routledge Handbook of Law and Terrorism 147 162 Routledge Abingdon Dataveillance, counterterrorism, privacy, human rights 21 7 2015 2015-07-21 http://www.routledge.com/books/details/9780415870375/ COLLEGE NANME Law COLLEGE CODE LAWD Swansea University 2019-02-04T14:23:50.4043118 2014-07-01T09:50:42.9947321 Faculty of Humanities and Social Sciences Hilary Rodham Clinton School of Law Stuart Macdonald 0000-0002-7483-9023 1 0018076-04022019142216.pdf 18076.pdf 2019-02-04T14:22:16.3770000 Output 341349 application/pdf Accepted Manuscript true 2017-01-21T00:00:00.0000000 true eng |
title |
Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence |
spellingShingle |
Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence Stuart Macdonald |
title_short |
Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence |
title_full |
Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence |
title_fullStr |
Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence |
title_full_unstemmed |
Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence |
title_sort |
Dataveillance and Terrorism: Swamps, Haystacks and the Eye of Providence |
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933e714a4cc37c3ac12d4edc277f8f98 |
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933e714a4cc37c3ac12d4edc277f8f98_***_Stuart Macdonald |
author |
Stuart Macdonald |
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Stuart Macdonald |
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Routledge Handbook of Law and Terrorism |
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147 |
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2015 |
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Swansea University |
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Routledge |
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Hilary Rodham Clinton School of Law{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}Hilary Rodham Clinton School of Law |
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http://www.routledge.com/books/details/9780415870375/ |
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description |
In today’s pre-crime society it is easy to understand the appeal of a technology that promises to identify terrorist plots and stop attacks before they happen – even when the would-be perpetrators have never previously attracted the attention of the authorities or aroused any suspicion (unknown unknowns, in Rumsfeldian terminology). Mass dataveillance programmes – which have been the subject of much discussion and controversy since the Snowden revelations of 2013 – have been claimed to offer this degree of predictive potential. This chapter first of all examines the effectiveness of pattern-based queries, arguing that there are significant problems in terms of modelling, false positives and false negatives. Given that pattern-based queries involve suspicion-less searches of individuals’ data, the chapter then examines legal protection of the right to privacy in this context and considers the significance of these privacy-based concerns. |
published_date |
2015-07-21T03:21:05Z |
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1763750618553384960 |
score |
11.021648 |