Big data and democracy /edited by Kevin Macnish and Jai Galliott.

Big data and democracy /edited by Kevin Macnish and Jai Galliott. - Edinburgh : Edinburgh University Press, (c)2020. - 1 online resource (ix, 250 pages)

Includes bibliographies and index.

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

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


Big data--Political aspects.
Big data--Philosophy.
Communication in politics--Technological innovations.
Political campaigns--Technological innovations.


Electronic Books.

JA85 / .B543 2020