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Big Data and Democracy - Kevin Macnish

Big Data and Democracy

By: Kevin Macnish (Editor), Jai Galliott (Editor)

Hardcover | 8 July 2020

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Considers the morality of using big data in the political sphere, covering cases from the Snowden leaks to the Brexit referendum
  • Investigates theories and recommendations for how to align the modern political process with the exponential rise in the availability of digital information
  • Opens new avenues for thinking about the philosophy and morality of social media, such as Facebook and Twitter, in the context of political decision-making
  • Sets out and objectively assesses the 'opacity' framework as an appropriate means of dealing with the challenges associated with big data and democracy

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.

Contributors

Ram n Alvarado, University of Oregon, USA.

Thorsten Br nholt, University of Copenhagen, Denmark.

David Douglas, University of Twente, Netherlands.

Carl Fox, University of Leeds, UK.

Jai Galliott, Australian Defence Force Academy, University of New South Wales, Australia.

Phillip Garnett, University of York, UK.

Stephanie Gauttier, University of Twente, Netherlands.

Sarah Hughes, Durham University, UK.

David Kinkead, University of Queensland, Australia.

Wulf Loh, University of Stuttgart, Germany.

Bjorn Lundgren, Royal Institute of Technology (KTH), Stockholm, Sweden.

Kevin Macnish, University of Twente, Netherlands.

John Macwillie, California State University, East Bay (CSUEB), USA.

Steven Mckinlay, Wellington Institute of Technology, New Zealand.

Kieron O'Hara, University of Southampton, UK.

Joe Saunders, Durham University, UK.

Tom Sorell, University of Warwick, UK.

Harald Stelzer, University of Graz, Austria.

Anne Suphan, Hohenheim University, Germany.

Hristina Veljanova, University of Graz, Austria.

Christopher Zirnig, Hohenheim University, Germany.

Industry 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"

Other Editions and Formats

Paperback

Published: 30th May 2022

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