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Poster
in
Workshop: Theory and Practice of Differential Privacy

A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale

Ryan Rogers · Adrian Rivera Cardoso · Koray Mancuhan · Akash Kaura · Nikhil Gahlawat · Neha Jain · Paul Ko · Parvez Ahammad


Abstract:

We describe the privatization method used in reporting labor market insights from LinkedIn's Economic Graph, including the differentially private algorithms used to protect member's privacy. The reports show who are the top employers, as well as what are the top jobs and skills in a given country/region and industry. We hope this data will help governments and citizens track labor market trends during the COVID-19 pandemic while also protecting the privacy of our members.

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