Google COVID-19 Vaccination Search Insights: Anonymization Process Description
This provides a publicly available dataset for researchers and policymakers to analyze vaccination trends while ensuring user privacy, but it is incremental as it focuses on describing an existing process.
The paper describes the aggregation and anonymization process for the COVID-19 Vaccination Search Insights dataset, applying differential privacy with parameters ε=2.19 and δ=10^-5 to protect user search activity.
This report describes the aggregation and anonymization process applied to the COVID-19 Vaccination Search Insights (published at http://goo.gle/covid19vaccinationinsights), a publicly available dataset showing aggregated and anonymized trends in Google searches related to COVID-19 vaccination. The applied anonymization techniques protect every user's daily search activity related to COVID-19 vaccinations with $(\varepsilon, δ)$-differential privacy for $\varepsilon = 2.19$ and $δ= 10^{-5}$.