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Openness for privacy: applying open approaches to personal data challenges

Openness for privacy: applying open approaches to personal data challenges
Openness for privacy: applying open approaches to personal data challenges
This thesis comprises three papers undertaken as part of a PhD by publication or 'Three-Paper PhD', in addition to an introduction and conclusion. The introduction outlines the concept of Openness for Privacy, which describes a class of technological, social and policy approaches for addressing the challenges of personal data. Various manifestations of this concept are investigated in the three papers. The first paper explores the idea of 'open data for privacy', in particular the potential of machine-readable privacy notices to provide transparency and insight into organisations' uses of personal data. It provides an empirical overview of UK organisations' personal data practices. The second paper examines services which give individuals transparency and control over their digital profiles, assessing the potential benefits to industry, and the empowering potential for individuals. The first part is a user study, which tests how consumer responses to personalised targeting are affected by the degree of transparency and control they have over their profiles, with implications for digital marketing and advertising. The second part draws from qualitative data, and theoretical perspectives, to develop an account of the empowering potential of these services. The third paper concerns Privacy Impact Assessments (PIAs), a regulatory tool included in the European Union's proposed general data protection regulation reform. It assesses the potential of PIAs through concepts from regulatory theory, namely, meta-regulation and the open corporation, and outlines implications for regulators, civil society and industry.
University of Southampton
Binns, Reuben
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Binns, Reuben
93947060-2eed-403c-a717-7e2dc9bbd370
Harris, Lisa J
cf587c06-2cf7-49e6-aef8-c9452cbff529

Binns, Reuben (2015) Openness for privacy: applying open approaches to personal data challenges. University of Southampton, Southampton Business School, Doctoral Thesis, 225pp.

Record type: Thesis (Doctoral)

Abstract

This thesis comprises three papers undertaken as part of a PhD by publication or 'Three-Paper PhD', in addition to an introduction and conclusion. The introduction outlines the concept of Openness for Privacy, which describes a class of technological, social and policy approaches for addressing the challenges of personal data. Various manifestations of this concept are investigated in the three papers. The first paper explores the idea of 'open data for privacy', in particular the potential of machine-readable privacy notices to provide transparency and insight into organisations' uses of personal data. It provides an empirical overview of UK organisations' personal data practices. The second paper examines services which give individuals transparency and control over their digital profiles, assessing the potential benefits to industry, and the empowering potential for individuals. The first part is a user study, which tests how consumer responses to personalised targeting are affected by the degree of transparency and control they have over their profiles, with implications for digital marketing and advertising. The second part draws from qualitative data, and theoretical perspectives, to develop an account of the empowering potential of these services. The third paper concerns Privacy Impact Assessments (PIAs), a regulatory tool included in the European Union's proposed general data protection regulation reform. It assesses the potential of PIAs through concepts from regulatory theory, namely, meta-regulation and the open corporation, and outlines implications for regulators, civil society and industry.

Text
Final PhD thesis - Reuben Binns.pdf - Version of Record
Available under License University of Southampton Thesis Licence.
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More information

Published date: October 2015
Organisations: University of Southampton, Southampton Business School

Identifiers

Local EPrints ID: 395330
URI: https://eprints.soton.ac.uk/id/eprint/395330
PURE UUID: 166e488f-ea34-400b-aaea-6bf57da302a1

Catalogue record

Date deposited: 18 Feb 2017 00:24
Last modified: 21 Mar 2019 17:31

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Contributors

Author: Reuben Binns
Thesis advisor: Lisa J Harris

University divisions

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