LinkedIn handed its members a button for flagging posts that read like a machine wrote them. A million people pressed it in the first two weeks.
The "seems like AI slop" option went live earlier this month, and Chief Product Officer Hari Srinivasan has now put some numbers to it. Besides the million users, he says posts LinkedIn classifies as slop are pulling 40% fewer views than they were a few weeks ago.
What counts as slop
Worth pinning down, because the phrase could mean almost anything. LinkedIn Creator Product Lead Sam Corrao Clannon gave a definition that's more precise than most.
"We internally define AI slop as content that is potentially sophisticated or polished in its presentation, but lacks substance," he said. "So it doesn't have any particular experience, perspective, or insight, but is sort of just empty text that's posted to take up space and garner attention without effort on the other side."
Notice where the line falls. It's about effort and substance, not about which tools you used. Corrao Clannon said plainly that the button isn't aimed at all AI use in writing — running a draft through a model to tighten it up is fine. What's being flagged is the empty post, regardless of who or what produced it.
That distinction is the difference between a useful signal and a witch hunt, and it's the part most coverage of AI-detection tools skips.
The button does less than you'd think
Reporting a post as slop doesn't quietly kill its reach. That surprised a lot of people.
"This is a way that we're giving viewers more control over their own feeds by allowing them to say this is not something that I'm interested in by virtue of it sounding like generic, empty, AI-generated content," Corrao Clannon said. He also pointed out it isn't "a reporting path for policy violations."
Srinivasan spelled out the safeguard: "We look at many signals together, and we've built safeguards to help prevent individual feedback from being used to unfairly target other members."
So in practice, your report mostly changes your own feed. A creator's numbers only move when a lot of people flag the same post. And that's clearly on purpose — a one-click button that instantly buried a post would be weaponised against competitors and disliked colleagues within about a day.
A warning, not a penalty
LinkedIn is also starting to notify people whose posts collect a lot of slop reports. Not a strike, not a demotion — just a heads-up that the room isn't enjoying it.
That's a reasonable read of the audience. On a platform where most people are posting to protect a professional reputation rather than chase ad revenue, being told your writing reads as hollow is its own correction.
Srinivasan didn't claim victory. "Despite the progress, we know we have more to do to ensure LinkedIn remains a place where you can find real people & real perspectives... this all remains very top of mind," he said.
The longer game
The button is one piece of something bigger. LinkedIn has been pushing members through verification to confirm they're actual humans, and it now uses that verification as a signal so you can filter replies to verified people only.
Put those together and the strategy isn't really about detecting AI. It's about surfacing proof that a person is behind the post — which is the smarter bet, since detection tools keep falling behind each new model while a verified human and a million annoyed readers are both harder to fake.
What I'd watch is whether the 40% holds. New reporting tools always get a burst of enthusiasm, and the posts getting flagged right now are the easy ones — the obvious, over-polished, three-bullet-and-a-rhetorical-question stuff. The slop that survives will be harder to spot, and it'll be trained on whatever slipped through this round.
Image: kaboompics.com, via Pexels
