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Politics and Policies of Big Data: Big Data, Big Brother? [Minkštas viršelis]

Edited by (Norwegian University of Science and Technology), Edited by (University of Hamburg, Germany), Edited by (University of Surrey, UK)
  • Formatas: Paperback / softback, 358 pages, aukštis x plotis: 234x156 mm, weight: 670 g, 12 Tables, black and white; 4 Line drawings, black and white; 4 Illustrations, black and white
  • Serija: Routledge Research in Information Technology and Society
  • Išleidimo metai: 14-Jan-2020
  • Leidėjas: Routledge
  • ISBN-10: 0367432307
  • ISBN-13: 9780367432300
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 358 pages, aukštis x plotis: 234x156 mm, weight: 670 g, 12 Tables, black and white; 4 Line drawings, black and white; 4 Illustrations, black and white
  • Serija: Routledge Research in Information Technology and Society
  • Išleidimo metai: 14-Jan-2020
  • Leidėjas: Routledge
  • ISBN-10: 0367432307
  • ISBN-13: 9780367432300
Kitos knygos pagal šią temą:

Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways.

How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance.

An interdisciplinary volume, The Politics of Big Data will appeal to undergraduate and postgraduate students, as well as postdoctoral and senior researchers interested in fields such as Technology, Politics and Surveillance.

Notes on contributors viii
Acknowledgements xii
1 The politics of Big Data: principles, policies, practices
1(18)
Ann Rudinow Sætnan
Ingrid Schneider
Nicola Green
PART I Principles and paradigms: questioning the tenets of Big Data
19(68)
2 The haystack fallacy, or why Big Data provides little security
21(18)
Ann Rudinow Sætnan
3 Grasping the ethics and politics of algorithms
39(7)
Tobias Matzner
4 Big Data -- within the tides of securitisation?
46(22)
Stefan Straub
5 Surveillance as a critical paradigm for Big Data?
68(19)
Tobias Matzner
PART II Big Data policies: politics of governance and regulation
87(138)
6 Tracing Big Data imaginaries through public policy: the case of the European Commission
89(21)
Gernot Rieder
7 The automated public sphere
110(19)
Frank Pasquale
8 Bringing the state back in: Big Data-based capitalism, disruption, and novel regulatory approaches in Europe
129(47)
Ingrid Schneider
9 Rear window -- transparent citizens versus political participation
176(21)
Maria Joao Simoes
Nuno Amaral Jeronimo
10 Fading dots, disappearing lines -- surveillance and Big Data in news media after the Snowden revelations
197(28)
Gunhild TØndel
Ann Rudinow Sætnan
PART III Performance is political: Big Data practices, performance, and resistance
225(94)
11 No (Big) Data, no fiction? Thinking surveillance with/against Netflix
227(20)
Rocco Bellanova
Gloria Gonzalez Fuster
12 `Data trainings' in German schools -- learning empowerment from hackers
247(18)
Julia Fleischhack
13 Self-protection beyond the self: collective privacy practices in (Big) datascapes
265(27)
Carsten Ochs
14 Understanding the `open' in making research data open: policy rhetoric and research practice
292(27)
Merel Noorman
Bridgette Wessels
Thordis Sveinsdottir
Sally Wyatt
PART IV Postscript
319(12)
15 Big Data's methodological challenges
321(10)
Nicola Green
Index 331
Sętnan, Ann Rudinow; Schneider, Ingrid; Green, Nicola