Replication Data for: Americans' perceptions of privacy and surveillance in the COVID-19 Pandemic|疫情监控数据集|公众态度数据集

Objective: To study the U.S. public’s attitudes toward surveillance measures aimed at curbing the spread of COVID-19, particularly smartphone applications (apps) that supplement traditional contact tracing. Method: We deployed a survey of approximately 2,000 American adults to measure support for14 COVID-19 surveillance measures. Through a conjoint analysis experiment, we assessed attitudes toward contact tracing apps by manipulating five different attributes of a hypothetical app. Results: A smaller percentage of respondents support the government encouraging everyone to download and use contact tracing apps (42%) compared with other surveillance measures such as enforcing temperature checks (62%), expanding traditional contact tracing (57%), carrying out centralized quarantine (49%), deploying electronic device monitoring (44%), or implementing immunity passes (44%). Despite partisan differences on a range of surveillance measures, support for digital contact tracing is indistinguishable between Democrats (47%) and Republicans (46%), although more republicans oppose the apps (39%) compared to Democrats (27%). Of the app features we tested in our conjoint analysis experiment, only one had statistically significant effects on the reported likelihood of downloading the app: decentralized data storage increased the likelihood by 5.4 percentage points. Conclusion: Support for public health surveillance policies to curb the spread of COVID-19 is relatively low in the U.S. Contact tracing apps that use decentralized data storage, compared with those that use centralized data storage, are more accepted by the public. While respondents’ support for expanding traditional contact tracing is greater than their support for the government encouraging the public to download and use contact tracing apps, there are smaller partisan differences in support for the latter policy.