Big data and democracy / edited by Kevin Macnish and Jai Galliott
- Edinburgh : Edinburgh University Press, 
- Physical Description:
- 1 online resource (ix, 250 pages)
- Additional Creators:
- Macnish, Kevin and Galliott, Jai
- Intro -- 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 andthe Epistemic Justifi cations of Democracy -- PART THREE and 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
- What's wrong with targeted advertising in political campaigns? Are echo chambers a matter of genuine concern? 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.
- 9781474463546 (electronic bk.)
1474463541 (electronic bk.)
- Bibliography Note:
- Includes bibliographical references and index.
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