Decisions and Disruptions 2: Decide Harder
summary
Two empirical studies test how people understand differential privacy, comparing local vs central noise models and probing explanations of the epsilon privacy‑utility tradeoff. Results show concrete outcome statements improve comprehension, participants weigh privacy versus utility in realistic scenarios, and clear central-model explanations can reduce willingness to share. Paper recommends measuring risk comprehension over willingness to share and reporting both privacy guarantees and expected accuracy rather than only describing the mechanism.
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