Big Data, Surveillance, and the Digital Citizen

This thesis provides an analysis of the impact of pervasive online surveillance on the relationship between the digital citizen and corporations, the state, and politics in order to argue that the United Kingdom is emerging as a surveillance state in which individual’s relationship with society is remade to their detriment. Original contributions to knowledge are as follows: 1) locating the business model of corporations such as Google and Facebook, identified as surveillance capitalism by Shoshanna Zuboff, in a surveillance studies context and connecting it with Antoinette Rouvroy’s algorithmic governmentality so as to discuss its rationality and technology of power; 2) identifying the emergence of a new role for the digital citizen in this business model as a produsumer, characterised by the production of surplus-value generating behavioural data through both production and consumption of digital content; 3) recognising state online surveillance regimes as a digital panopticon involving a new technology of power of algorithmic panoptic uncertainty; 4) assessing the implications of the forthcoming General Data Protection Regulation and the proposed ePrivacy Regulation for voter surveillance and microtargeting practices undertaken by political organisations; and 5) showing how the communications data retention and disclosure framework in Parts 3 and 4 of the Investigatory Powers Act 2016 is incompatible with EU law in light of recent decisions of the CJEU. This thesis does not seek to provide solutions or regulatory recommendations in response to the issues raised, but bring together literature, highlight problems, and propose new concepts in order to establish a basis for further research. In doing so, this thesis adopts a governmentality framework and takes an interdisciplinary approach to address the changing relationship between the citizen and society in the era of big data and online surveillance.

Name dc:type.qualificationname

Doctor of Philosophy

Level dc:type.qualificationlevel

Doctoral Thesis

Grantor dc:publisher.institution

Queen's University Belfast

Year dc:date.issued

2019

Author dc:creator

• Cobbe, Jennifer

Advisors dc:contributor.advisor

• Morison, John
• Melo Araujo, Billy

Language dc:language

eng

Identifier

oai:pure.qub.ac.uk/portal:studenttheses/5ab4cbc8-f7a2-465e-8025-706dee32bc5c

OAI identifier oai:identifier

oai:pure.qub.ac.uk/portal:studenttheses/5ab4cbc8-f7a2-465e-8025-706dee32bc5c