We believe LinkedIn is uniquely positioned to both create equal access to opportunity and help drive more equitable outcomes for all members of the global workforce. Self-ID is a critical step to this objective since LinkedIn does not currently have necessary data for identity dimensions like race and ethnicity, veteran status, or disability among others to fully understand how members of different backgrounds experience LinkedIn.

Self-ID will help uncover these differences, helping to root out unfair bias and inform how we can build even more relevant, diverse, and representative experiences  ensuring members see more useful content, find meaningful connections, and discover communities they could be a part of.

We’ll use Self-ID data to:

  • Measure outcomes for different demographic groups on LinkedIn
  • Ensure our search results are fair and representative
  • Publish reports on workplace diversity trends
  • Help companies analyze their workforce composition, without revealing your name or personal information