LinkedIn says its new “seems like AI slop” reporting tool is already reshaping what users see in their feeds, with more than one million people using the feature since it was introduced two weeks ago.
Chief Product Officer Hari Srinivasan said in a new update that content LinkedIn classifies as AI slop is now receiving 40% fewer views than a few weeks ago, while stressing that no single report determines how a post is distributed.
Srinivasan said users can flag posts or comments through the three-dot menu when they believe the content appears to be AI slop, helping LinkedIn better understand how its community reacts to low-quality or inauthentic material.
The platform is now adding another layer to the system. If a post receives enough community feedback, its author may see a message inside Post Analytics explaining how the content is being perceived.
LinkedIn is treating the signal as feedback rather than an automatic punishment. Srinivasan said the company combines several factors when deciding how widely content is shown and has introduced safeguards designed to stop individual reports from being used to unfairly target other users.
He also acknowledged the difficulty of defining AI slop, noting that the company still has more work to do despite the reduction in exposure.
LinkedIn deepens crackdown on low-quality AI content
The latest update follows an earlier push in which LinkedIn outlined a broader strategy to reduce repetitive, automated and low-quality AI content.
The company said it had been blocking hundreds of thousands of automated comment attempts each day and billions of other automation attempts over the previous months.
LinkedIn also began rolling out improved classifiers to identify AI slop and other low-quality posts, while expanding member reporting to help tune those systems.
At the same time, the platform moved away from its own “enhance your post” feature, replacing it with a proofreading tool intended to improve writing without changing the user’s voice.
LinkedIn has stressed that AI itself is not the issue, with its efforts focused instead on content that feels inauthentic, overly automated or detached from genuine human perspective.
