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Article . 2023
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Un-Paradoxing Privacy: Considering Hopeful Trust

Authors: Bran Knowles; Stacey Conchie;

Un-Paradoxing Privacy: Considering Hopeful Trust

Abstract

Extant literature has proposed an important role for trust in moderating people’s willingness to disclose personal information, but there is scant HCI literature that deeply explores the relationship between privacy and trust in apparent privacy paradox circumstances. Attending to this gap, this article reports a qualitative study examining how people account for continuing to use services that conflict with their stated privacy preferences, and how trust features in these accounts. Our findings undermine the notion that individuals engage in strategic thinking about privacy, raising important questions regarding the explanatory power of the well-known privacy calculus model and its proposed relationship between privacy and trust. Finding evidence of hopeful trust in participants’ accounts, we argue that trust allows people to morally account for their “paradoxical” information disclosure behavior. We propose that effecting greater alignment between people’s privacy attitudes and privacy behavior—or “un-paradoxing privacy”—will require greater regulatory assurances of privacy.

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United Kingdom
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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).
    9
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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!
9
Top 10%
Average
Top 10%
Green