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Conceptualising Voter Privacy in the Age of Data-Driven Political Campaigning

Authors: Cohen, Tegan;

Conceptualising Voter Privacy in the Age of Data-Driven Political Campaigning

Abstract

Voter profiling, microtargeting, and digital advertising architecture are widely recognised as threats to privacy and democratic processes. However, accounts of what voter privacy is, why it matters, and how it is threatened by new and emergent campaigning practices vary. This article examines voter privacy and its value in the context of data-driven political campaigning. In privacy theory and law, the role of privacy in political processes has predominantly been conceived as sheltering autonomous individuals from the conforming pressures of collective life and the chilling effects of surveillance. The dominant paradigms offer an inadequate explanation of the value of voter privacy in the contemporary social and technological milieu. This article argues that voter privacy is indispensable to free and informed democratic decision-making. Beyond merely enabling separation and differentiation from the collective, privacy is essential to the social and collective aspects of democratic decision-making. By reducing voter privacy, data-driven political campaigning practices disrupt voters’ abilities to self-articulate preferences, views, and affinities, to produce and circulate ideas, and to collectively deliberate and scrutinise. This conception offers an explanation of the societal value of voter privacy which can inform coherent legislative responses to the issues presented by data-driven political campaigning.

Country
Australia
Related Organizations
Keywords

IARE, 320, Privacy and data rights, 300

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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