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 (ε,δ)-differential privacy for ε=2.19 and δ=10−5.
Cite
@article{arxiv.2107.01179,
title = {Google COVID-19 Vaccination Search Insights: Anonymization Process Description},
author = {Shailesh Bavadekar and Adam Boulanger and John Davis and Damien Desfontaines and Evgeniy Gabrilovich and Krishna Gadepalli and Badih Ghazi and Tague Griffith and Jai Gupta and Chaitanya Kamath and Dennis Kraft and Ravi Kumar and Akim Kumok and Yael Mayer and Pasin Manurangsi and Arti Patankar and Irippuge Milinda Perera and Chris Scott and Tomer Shekel and Benjamin Miller and Karen Smith and Charlotte Stanton and Mimi Sun and Mark Young and Gregory Wellenius},
journal= {arXiv preprint arXiv:2107.01179},
year = {2021}
}