The Politics and Policies of Big Data (eBook, PDF)

Big Data, Big Brother?
Redaktion: Sætnan, Ann Rudinow; Green, Nicola; Schneider, Ingrid

• Format: PDF

Produktbeschreibung

How are we to deal with Big Data? When is it beneficial to us? 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 358
• Erscheinungstermin: 8. Mai 2018
• Englisch
• ISBN-13: 9781351866552
• Artikelnr.: 56889883

Autorenporträt

Sætnan, Ann Rudinow; Schneider, Ingrid; Green, Nicola

Inhaltsangabe

1. Sætnan, Schneider and Green: The politics of Big Data: Big Data, big
brother? Introduction to the volume
Section One) Principles and Paradigms: Questioning the tenets of Big Data
2) Saetnan: The haystack fallacy, or why Big Data provides little security
3) Matzner: Grasping the ethics and politics of algorithms
4) Strauss: Big Data - within the tides of securitisation?
5) Matzner: Surveillance as critical paradigm for Big Data?
Section Two) Big Data Policies: Politics of Governance and Regulation
6) Rieder: Tracing Big Data imaginaries through public policy: The case of
the European Commission
7) Pasquale: The automated public sphere
8) Schneider: Bringing the state back in: Big Data-based capitalism,
disruption, and novel regulatory approaches in Europe
9) Simões and Jerónimo: Rear window - transparent citizens versus political
participation
10) Tøndel and Sætnan: Fading dots, disappearing lines - Surveillance and
Big Data in news media after the Snowden revelations
Section Three) Performance is Political: Big Data Practices, Performance,
and Resistance
11) Bellanova and Gonzalez Fuster: No (Big) Data, no fiction? Thinking
surveillance with/against Netflix
12) Fleischhack: 'Data trainings' in German schools - Learning empowerment
from hackers
13) Ochs: Self-protection beyond the self: Collective privacy practices in
(Big) datascapes
14) Noorman/Wessels/Sveinsdottir/Wyatt: Understanding the 'open' in
making research data open: Policy rhetoric and research practice
Postscript:
15) Green: Postscript: Big Data's methodological challenges