COVID-19 Contact Tracing and Privacy: A Longitudinal Study of Public Opinion
Lucy Simko, Jack Lucas Chang, Maggie Jiang, Ryan Calo, Franziska, Roesner, Tadayoshi Kohno

TL;DR
This study tracks public opinion on COVID-19 contact tracing and privacy over seven months through online surveys, providing insights to inform policy and technology development balancing health benefits and privacy concerns.
Contribution
It offers a longitudinal analysis of public attitudes towards contact tracing and privacy, informing policy and technology design during the COVID-19 pandemic.
Findings
Public opinion is diverse and shifts over time.
Privacy concerns influence acceptance of contact tracing.
Longitudinal data informs policy decisions.
Abstract
There is growing use of technology-enabled contact tracing, the process of identifying potentially infected COVID-19 patients by notifying all recent contacts of an infected person. Governments, technology companies, and research groups alike have been working towards releasing smartphone apps, using IoT devices, and distributing wearable technology to automatically track "close contacts" and identify prior contacts in the event an individual tests positive. However, there has been significant public discussion about the tensions between effective technology-based contact tracing and the privacy of individuals. To inform this discussion, we present the results of seven months of online surveys focused on contact tracing and privacy, each with 100 participants. Our first surveys were on April 1 and 3, before the first peak of the virus in the US, and we continued to conduct the surveys…
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