Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)

This report describes the aggregation and anonymization process applied to the initial version of COVID-19 Search Trends symptoms dataset (published at https://goo.gle/covid19symptomdataset on September 2, 2020), a publicly available dataset that shows aggregated, anonymized trends in Google searche...

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Published inarXiv.org
Main Authors Bavadekar, Shailesh, Dai, Andrew, Davis, John, Desfontaines, Damien, Eckstein, Ilya, Everett, Katie, Fabrikant, Alex, Flores, Gerardo, Gabrilovich, Evgeniy, Gadepalli, Krishna, Glass, Shane, Huang, Rayman, Kamath, Chaitanya, Kraft, Dennis, Kumok, Akim, Marfatia, Hinali, Mayer, Yael, Miller, Benjamin, Pearce, Adam, Perera, Irippuge Milinda, Ramachandran, Venky, Raman, Karthik, Roessler, Thomas, Shafran, Izhak, Shekel, Tomer, Stanton, Charlotte, Stimes, Jacob, Sun, Mimi, Wellenius, Gregory, Zoghi, Masrour
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 02.09.2020
Subjects
Coronaviruses
COVID-19
Datasets
Search engines
Trends
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Summary:This report describes the aggregation and anonymization process applied to the initial version of COVID-19 Search Trends symptoms dataset (published at https://goo.gle/covid19symptomdataset on September 2, 2020), a publicly available dataset that shows aggregated, anonymized trends in Google searches for symptoms (and some related topics). The anonymization process is designed to protect the daily symptom search activity of every user with \(\varepsilon\)-differential privacy for \(\varepsilon\) = 1.68.
ISSN:2331-8422