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

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arxiv 2009.01265 v1 pith:W23BLZAI submitted 2020-09-02 cs.CR

Shailesh Bavadekar , Andrew Dai , John Davis , Damien Desfontaines , Ilya Eckstein , Katie Everett , Alex Fabrikant , Gerardo Flores
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Evgeniy Gabrilovich Krishna Gadepalli Shane Glass Rayman Huang Chaitanya Kamath Dennis Kraft Akim Kumok Hinali Marfatia Yael Mayer Benjamin Miller Adam Pearce Irippuge Milinda Perera Venky Ramachandran Karthik Raman Thomas Roessler Izhak Shafran Tomer Shekel Charlotte Stanton Jacob Stimes Mimi Sun Gregory Wellenius Masrour Zoghi
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classification cs.CR
keywords anonymizationdatasetprocesssearchsymptomstrendscovid-19google
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abstract

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.

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