A new study w/ @sekreps and @nmcmurry on Americans' views of #surveillance measures to limit the spread of #COVID19. Findings from our N=2,612 survey: the public is wary of contact tracing apps; adding privacy-preserving features increases their appeal. https://osf.io/9wz3y/ 

From our @OSFramework pre-registered study: Support for public health surveillance measures is generally low. Support for contact tracing apps is lower than support for traditional contact tracing or temperature checks in public places. #OpenScience

From our conjoint analysis: Decentralized data architecture (data stays on users' phones instead of on a central server) and non-location tracking Bluetooth proximity tracing increase the appeal of contact tracing apps. #DP3T

27% expressed willingness to download a hypothetical app with GPS location tracking, while 32% were willing when the app was described as using non-location-tracking Bluetooth technology.

34% expressed willingness to download apps with decentralized data storage, compared to 26% when apps
were described as storing data on a centralized server.

Breakdown by party ID: Democrats and Republicans express similar levels of support for public health surveillance measures. But Independents are more skeptical than partisans. #publicopinion #partisanship

Negative health or economic experience with #COVID19 is correlated with greater support for public health surveillance measures.

We made a database of existing studies on perceptions of digital contact tracing. It's being constantly updated. If you have a study that you want us to include, please let us know. https://tinyurl.com/yb6mda7r 

Key takeaways from our study:
Americans are wary of public health surveillance.
Privacy-preserving tech is more appealing, but there's still a lot of misunderstanding about the technology.
Building trust is important if governments want buy-in from the public.