LinkedIn introduces AI slop reports and new feed classifiers

LinkedIn adds a direct quality signal

LinkedIn is adding a “Seems like AI slop” button for members to report posts that appear machine-written. The Microsoft-owned network also says it blocks “hundreds of thousands” of automated comment attempts daily and millions of other automation attempts over the past couple of months.

Chief Product Officer Hari Srinivasan called AI slop a top priority. He tied the effort to LinkedIn’s purpose: helping people connect with real people and share genuine perspectives, ideas and expertise.

How reports will affect the feed

The button will supply a signal for tuning LinkedIn’s AI models. New classifiers are intended to identify AI slop and other low-quality material, reducing how often it appears in suggested posts from outside a member’s network.

LinkedIn will also privately flag in a user’s dashboard when people think a post feels inauthentic because of heavy AI use. It says the feedback may help those who use AI to refine their own work, rather than publish fully generated slop.

The company is withdrawing its AI-powered “enhance your post” feature and replacing it with proofreading that does not change the writer’s voice. It is also expanding profile and page verification and adding an option to block comments from unwanted company pages.

The wider push against synthetic content

Other platforms are responding too. Substack added AI-content identification through a partnership with Pangram, which announced $9 million in funding. Digg shut its Reddit competitor in March after saying it could not control the bots flooding the service.

Cloudflare says bot traffic now exceeds human-generated requests on the web, a milestone reached sooner than it predicted. For businesses publishing on LinkedIn, the practical step is to retain a recognisable voice, review automation and treat user reports as a content-quality signal.