vix.ing · top · new · best · stats · spec

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

2020/10/27 by Ryan Rogers, Rogers, Ryan, Adrian Rivera Cardoso +13
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data

paper · pdf · doi:10.48550/arxiv.2010.13981

openalex publication_date 2020/10/27 · openalex created_date 2020/11/09 · openalex updated_date 2026/07/28

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.

Citations

Related