Editorial Team
4 min read
LinkedIn’s AI-slop button is a feed signal, not a disclosed enforcement system
LinkedIn is rolling out a “Seems like AI slop” report option for posts and comments, using member feedback to tune classifiers for recommended and out-of-network content. It is also retiring an AI rewriting feature, but has not said what happens to a post after it is reported.
- LinkedIn is rolling out a “Seems like AI slop” option for posts and comments.
- The company says reports will tune classifiers that reduce apparent AI slop in suggested and out-of-network content.
- The disclosure describes a ranking-and-feedback system, not a stated removal rule or appeal process.
LinkedIn’s new AI-slop report button matters less as a verdict on an individual post than as a way to supply human judgments to its feed systems. The Microsoft-owned professional network says it is ramping up the option for members to report a post or comment that “seems like AI slop,” alongside classifiers for AI slop and generally low-quality content.
Hari Srinivasan, LinkedIn’s chief product officer for its ecosystem, announced the change. He was vice president of product management for LinkedIn Talent Solutions during the company’s 2023 recruiting-product launch, as a company account identified him, a prior role that helps explain why he is speaking for products built around the credibility of professional profiles and posts. In his post, Srinivasan said the definition of slop is hard to fix and changes over time; member reports are meant to help LinkedIn tune its models and make better feeds.
The disclosed effect is on distribution
LinkedIn says the classifiers are intended to reduce the amount of AI slop members see in suggested material and content from outside their network. That is a specific, limited description of the system’s scope: the company has not said that a report automatically removes a post, penalizes its author, or changes what an author’s connections see.
Independent tests of the new menu item found that submitting a report hid the post for the reporting member and displayed a thank-you message. That test establishes an immediate viewer-level effect, not what happens elsewhere on the service.
The difference matters because “AI slop” is a subjective category, and LinkedIn itself says that AI use and slop are not the same thing. The company is also testing a private analytics-dashboard flag for posters when members feel a post came across as inauthentic or overly AI-assisted. Srinivasan said the purpose is to give people feedback from other people rather than rely only on an AI detector that can be wrong.
