Big Data and Democracy

Author:   Kevin Macnish ,  Jai Galliott
Publisher:   Edinburgh University Press
ISBN:  

9781474463539


Pages:   256
Publication Date:   31 May 2022
Format:   Paperback
Availability:   In Print   Availability explained
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Big Data and Democracy


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Overview

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.

Full Product Details

Author:   Kevin Macnish ,  Jai Galliott
Publisher:   Edinburgh University Press
Imprint:   Edinburgh University Press
ISBN:  

9781474463539


ISBN 10:   1474463533
Pages:   256
Publication Date:   31 May 2022
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

"This text will age well as a model application of philosophy, behavioral psychology, and social theory to current events, treating big data as an evolving phenomenon ... An excellent text for a social science ethics or philosophy course focused on technology. It would also work well in a course designed around a big data or social media analysis project. Summing Up: Highly recommended.--J. Forrest, Georgia Institute of Technology ""CHOICE"""


This text will age well as a model application of philosophy, behavioral psychology, and social theory to current events, treating big data as an evolving phenomenon ... An excellent text for a social science ethics or philosophy course focused on technology. It would also work well in a course designed around a big data or social media analysis project. Summing Up: Highly recommended.--J. Forrest, Georgia Institute of Technology ""CHOICE""


Author Information

Kevin Macnish, Assistant Professor in Ethics and IT, University of Twente. Jai Galliott, Group Leader of Values in Defence & Security Technology, Australian Defence Force Academy at the University of New South Wales.

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