Provenance record

The Privacy Paradox Is a Misnomer: Data Under Structural Uncertainty

arXiv cs.CY (Computers and Society) (tier 1, academic) 2026-10-22T04:00:00.000Z Original ↗

Source note: Preprints on societal impact.


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confidence 80% · 1 item
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Cyber capabilityEvaluation and measurementGovernance and regulation
Excerpt as ingested

arXiv:2610.29756v1 Announce Type: new Abstract: The infamous privacy paradox refers to the apparent inconsistency between people's stated concern for privacy and their readiness to disclose personal information. This phenomenon has sparked two largely disconnected literatures: one offering experimental evidence of inconsistent behavior, and another providing qualitative accounts and defending the importance of privacy. The Article presents an online field experiment that bridges those literatures and shows that the so-called paradox arises from a mischaracterization of the underlying behavior. The Article finds that it is structural uncertainty about risk that drives seemingly paradoxical privacy decisions. It does so by isolating discounting mechanisms and empirically testing whether observed privacy choices reflect temptation or rational responses to uncertainty. The results suggest that privacy behavior is not paradoxical but, rather, consistent with choices shaped by incomplete information. The Article then discusses the policy implications of this reframing. As privacy decisions stem from structural uncertainty, which operates as a market failure, regulation should aim to reduce that uncertainty. This supports regulation that prioritizes transparency (for people to assess the risks of data collection) and flexibility mechanisms that accommodate evolving contexts. Such reframing provides a new argument for the right to be forgotten, which allows people to revisit prior disclosures as new risks become apparent. By shifting the focus from individual inconsistency to struc

Every model that read this

ModelProviderStageScoreConf.LatencyPromptWhen
Llama 3.3 70BMetaanalysis +50 80%3383ms v1.0.0 / m1.0.1 2026-10-22 05:41
Llama 3.3 70B · reading

Regulation is needed to reduce uncertainty about data collection risks.

evidence: primary horizon: n/a

Evidence extracted

The chain
SOURCE     arXiv cs.CY (Computers and Society) (tier 1)
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DOCUMENT   585ef0dd-aec2-4838-9856-2f1ba37e51cc
           https://arxiv.org/abs/2610.29756
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EVIDENCE   1 extracted excerpt
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MODEL RUN  1 run, methodology 1.0.1
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SCORE      +50  (Favourable)
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CONFIDENCE 80%