The Privacy Elasticity of Behavior: Conceptualization and Application

Dekel, Inbal; Cummings, Rachel; Heffetz, Ori; Ligett, Katrina

doi:10.3386/w30215

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While a limited body of prior work has sought to understand how training users to understand DP influences willingness to share (Xiong et al, 2020;Bullek et al, 2017;Dekel et al, 2021), we aim to answer broader questions regarding: (i) whether DP meets users' existing privacy needs, (ii) what expectations a potential user might have of a differentially private system, and (iii) whether existing, in-the-wild, descriptions of DP accurately set user expectations.…”

Section: Introductionmentioning

confidence: 99%

"I need a better description": An Investigation Into User Expectations For Differential Privacy

Cummings,

Kaptchuk,

Redmiles

2024

JPC

View full text Add to dashboard Cite

Despite recent widespread deployment of differential privacy, relatively little is known about what users think of differential privacy. In this work, we seek to explore users' privacy expectations related to differential privacy. Specifically, we investigate (1) whether users care about the protections afforded by differential privacy, and (2) whether they are therefore more willing to share their data with differentially private systems. Further, we attempt to understand (3) users' privacy expectations of the differentially private systems they may encounter in practice and (4) their willingness to share data in such systems. To answer these questions, we use a series of rigorously conducted surveys (n=2424). We find that users care about the kinds of information leaks against which differential privacy protects and are more willing to share their private information when the risks of these leaks are less likely to happen. Additionally, we find that the ways in which differential privacy is described in-the-wild haphazardly set users' privacy expectations, which can be misleading depending on the deployment. We synthesize our results into a framework for understanding a user's willingness to share information with differentially private systems, which takes into account the interaction between the user's prior privacy concerns and how differential privacy is described.

show abstract

Section: Introductionmentioning

confidence: 99%