A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale
This work addresses the need for governments and citizens to access real-time labor market data during a crisis while ensuring incremental privacy protection for LinkedIn members.
The paper tackles the problem of generating labor market insights from LinkedIn's Economic Graph while protecting member privacy using differential privacy algorithms, resulting in reports on top employers, jobs, and skills by region and industry to aid in tracking trends during the COVID-19 pandemic.
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.