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|a UAMI
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|a Big data and democracy /
|c edited by Kevin Macnish and Jai Galliott.
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|a Edinburgh :
|b Edinburgh University Press,
|c [2020]
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|c ©2020
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|a 1 online resource (ix, 250 pages)
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|a Includes bibliographical references and index.
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|a An introduction to big data and democracy / Kevin Macnish and Jai Galliott -- Big data, consequentialism and privacy / Kieron O'Hara -- Politics, big data and opacity respect / Carl Fox -- A pre-occupation with possession: the (non-)ownership of personal data / Kevin Macnish and Stephanie Gauttier -- Policing with Big Data: DNA matching vs. crime prediction / Tom Sorell -- Dark advertising and the Democratic process / Joe Saunders -- Twitter and electoral bias / Wulf Loh, Anne Suphan and Christopher Zirnig -- Gated communities of the digitized mind / Thorsten Brønholt -- The network and the demos: Big Data and the epistemic justifications of democracy / Dave Kinkead and David M. Douglas -- The technics of a gnostic world: an ontogeny of Big Data / John MacWillie -- Opacity, Big Date, artificial intelligence and machine learning in Democratic processes / Ramon Alvarado -- The Big Data paradox and its importance to strategy and military systems development / Tim McFarland, Jai Galliott and Massimiliano Cappuccio -- Beyond the concept of anonymity: What is really at stake? / Björn Lundgren -- Big Data analytics and the accessibility of public inquiries / Philip Garnett and Sarah M. Hughes -- Developing an ethical compass for Big Data / Harald Stelzer and Hristina Veljanova.
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|a "What's wrong with targeted advertising in political campaigns? Should we be worried about echo chambers? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges. It brings together original research on the philosophy of big data and democracy from leading international authors, with recent examples -- including the 2016 Brexit Referendum, the Leveson Inquiry and the Edward Snowden leaks. And it asks whether an ethical compass is available or even feasible in an ever more digitised and monitored world"--
|c Provided by publisher.
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|a Kevin Macnish is Assistant Professor in Ethics and IT at the University of Twente. Jai Galliott is Group Leader of Values in Defence & Security Technology at the Australian Defence Force Academy at the University of New South Wales; Non-Residential Fellow at the Modern War Institute at the United States Military Academy, West Point and Visiting Fellow in The Centre for Technology and Global Affairs at the University of Oxford.
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|a Print version record.
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590 |
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|a JSTOR
|b Books at JSTOR Demand Driven Acquisitions (DDA)
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|a JSTOR
|b Books at JSTOR All Purchased
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|a JSTOR
|b Books at JSTOR Evidence Based Acquisitions
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|a Big data
|x Political aspects.
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|a Big data
|x Philosophy.
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|a Communication in politics
|x Technological innovations.
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650 |
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|a Political campaigns
|x Technological innovations.
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650 |
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|a Données volumineuses
|x Aspect politique.
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|a Données volumineuses
|x Philosophie.
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|a Communication politique
|x Innovations.
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650 |
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|a Big data
|x Political aspects
|2 fast
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650 |
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|a Communication in politics
|x Technological innovations
|2 fast
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650 |
|
7 |
|a Political campaigns
|x Technological innovations
|2 fast
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700 |
1 |
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|a Macnish, Kevin,
|e editor.
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700 |
1 |
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|a Galliott, Jai,
|e editor.
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776 |
0 |
8 |
|i Print version:
|t Big data and democracy.
|d Edinburgh : Edinburgh University Press, [2020]
|z 9781474463522
|w (OCoLC)1173453433
|
856 |
4 |
0 |
|u https://jstor.uam.elogim.com/stable/10.3366/j.ctv1453jcx
|z Texto completo
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