Surveillance, Snowden, and Big Data: Capacities, consequences, critique

Big Data and Society 1 (2) (2014)
  Copy   BIBTEX

Abstract

The Snowden revelations about National Security Agency surveillance, starting in 2013, along with the ambiguous complicity of internet companies and the international controversies that followed provide a perfect segue into contemporary conundrums of surveillance and Big Data. Attention has shifted from late C20th information technologies and networks to a C21st focus on data, currently crystallized in “Big Data.” Big Data intensifies certain surveillance trends associated with information technology and networks, and is thus implicated in fresh but fluid configurations. This is considered in three main ways: One, the capacities of Big Data intensify surveillance by expanding interconnected datasets and analytical tools. Existing dynamics of influence, risk-management, and control increase their speed and scope through new techniques, especially predictive analytics. Two, while Big Data appears to be about size, qualitative change in surveillance practices is also perceptible, accenting consequences. Important trends persist – the control motif, faith in technology, public-private synergies, and user-involvement – but the future-orientation increasingly severs surveillance from history and memory and the quest for pattern-discovery is used to justify unprecedented access to data. Three, the ethical turn becomes more urgent as a mode of critique. Modernity's predilection for certain definitions of privacy betrays the subjects of surveillance who, so far from conforming to the abstract, disembodied image of both computing and legal practices, are engaged and embodied users-in-relation whose activities both fuel and foreclose surveillance.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,202

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Indiscriminate mass surveillance and the public sphere.Titus Stahl - 2016 - Ethics and Information Technology 18 (1):33-39.
Facing the future: Seeking ethics for everyday surveillance. [REVIEW]David Lyon - 2001 - Ethics and Information Technology 3 (3):171-180.
Surveillance and persuasion.Michael Nagenborg - 2014 - Ethics and Information Technology 16 (1):43-49.

Analytics

Added to PP
2020-11-24

Downloads
84 (#193,318)

6 months
26 (#105,885)

Historical graph of downloads
How can I increase my downloads?

References found in this work

A New Algorithmic Identity.John Cheney-Lippold - 2011 - Theory, Culture and Society 28 (6):164-181.
Data Derivatives.Louise Amoore - 2011 - Theory, Culture and Society 28 (6):24-43.
The Governmental Topologies of Database Devices.Evelyn Ruppert - 2012 - Theory, Culture and Society 29 (4-5):116-136.
Prediction, pre-emption, presumption.Ian Kerr - 2013 - In Mireille Hildebrandt & Katja de Vries (eds.), Privacy, due process and the computational turn. Abingdon, Oxon, [England] ; New York: Routledge. pp. 91.

View all 6 references / Add more references