Big Data and Democracy / / Kevin Macnish, Jai Galliott.

• Superior document: Title is part of eBook package: De Gruyter Edinburgh University Press Complete eBook-Package 2020
• VerfasserIn: Macnish, Kevin,; Galliott, Jai,
• MitwirkendeR: Alvarado, Ramón,; Brønholt, Thorsten,; Cappuccio, Massimiliano,; Douglas, David M.,; Fox, Carl,; Galliott, Jai,; Garnett, Philip,; Gauttier, Stephanie,; Hughes, Sarah M.,; Kinkead, Dave,; Loh, Wulf,; Lundgren, Björn,; MacWillie, John,; Macnish, Kevin,; McFarland, Tim,; McKinlay, Steve,; O’Hara, Kieron,; Saunders, Joe,; Sorell, Tom,; Stelzer, Harald,; Suphan, Anne,; Veljanova, Hristina,; Zirnig, Christopher,
• Place / Publishing House: Edinburgh : : Edinburgh University Press, , [2022]; ©2020
• Year of Publication: 2022
• Language: English
• Physical Description: 1 online resource (256 p.)

Considers the morality of using big data in the political sphere, covering cases from the Snowden leaks to the Brexit referendumInvestigates theories and recommendations for how to align the modern political process with the exponential rise in the availability of digital informationOpens new avenues for thinking about the philosophy and morality of social media, such as Facebook and Twitter, in the context of political decision-makingSets 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.ContributorsRamón Alvarado, University of Oregon, USA. Thorsten Brønholt, 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.

Table of Contents

Frontmatter -- CONTENTS -- CONTRIBUTORS -- An Introduction to Big Data and Democracy -- Part One -- ONE Big Data, Consequentialism and Privacy -- TWO Politics, Big Data and Opacity Respect -- THREE A Pre-Occupation with Possession: the (Non-) Ownership of Personal Data -- FOUR Policing with Big Data: DNA Matching vs Crime Prediction -- Part Two -- FIVE Dark Advertising and the Democratic Process -- SIX Twitter and Electoral Bias -- SEVEN Gated Communities of the Digitised Mind -- EIGHT The Network and the Demos: Big Data and the Epistemic Justifi cations of Democracy -- Part Three -- NINE The Technics of a Gnostic World: an Ontogeny of Big Data -- TEN Trust and Algorithmic Opacity -- ELEVEN Opacity, Big Data, Artifi cial Intelligence and Machine Learning in Democratic Processes -- TWELVE The Big Data Paradox and Its Importance to Strategy and Military Systems Development -- Part Four -- THIRTEEN Beyond the Concept of Anonymity: What is Really at Stake? -- FOURTEEN Big Data Analytics and the Accessibility of Public Inquiries -- FIFTEEN Developing an Ethical Compass for Big Data -- INDEX