LinkedIn implements new detection measures to combat AI content and fake profiles

LinkedIn is rolling out new measures to reduce low effort AI generated posts, automated comments, and fake AI profiles across the platform. The company says the changes target “AI slop,” meaning content that may sound polished but is generic, repetitive, or lacks a clear personal perspective. Users can still use AI to refine their writing, but LinkedIn says posts and comments should reflect their own views and experience.

To enforce this, LinkedIn has built detection systems with its editorial team to identify generic AI generated content, including posts, comments published at scale through automation tools, and replies that only restate the original post without adding anything new. Content flagged this way will be less likely to spread beyond the author’s immediate network. LinkedIn says early tests correctly identified generic content 94% of the time.

The company says members should see fewer generic posts from outside their networks as the system improves. LinkedIn is also expanding verification filters to help users avoid bots and fake AI profiles, with filters now available across profile views, job applications, feed conversations, and comments for its more than 100 million verified members.