LinkedIn Adds an AI Slop Report as It Removes Its Own Post-Writing Tool

LinkedIn is adding a report option labeled Seems like AI slop, giving users a direct way to flag low-quality or inauthentic posts. The signal will feed classifiers that determine which content appears in recommendations, particularly material from accounts outside a user's network.

The Microsoft-owned platform is also retiring its Enhance your post feature, which rewrote users' drafts with generative AI. A replacement will focus on proofreading rather than changing the author's voice. The reversal acknowledges the tension between encouraging AI-assisted posting and trying to remove the repetitive content that assistance can produce.

LinkedIn says it blocks hundreds of thousands of automated comment attempts each day and millions of other automation attempts over recent months. It plans to show private dashboard feedback when readers perceive a user's posts as heavily generated, giving creators an opportunity to change how they write before their reach declines further.

The company is not alone. Snapchat is limiting rewards for fully generated Spotlight videos, Substack has added detection support and YouTube has clarified monetization rules for repetitive material. Platforms are discovering that cheap content can satisfy short-term engagement systems while weakening the human participation those networks depend on.

A private authenticity dashboard may help careful writers, but it could also pressure people toward a narrow corporate style that the classifier considers human. LinkedIn should test for language and cultural bias, especially for users writing in a second language. Authenticity cannot be measured only by how closely a post resembles the platform's preferred professional voice.

Reporting tools can reduce synthetic spam only if LinkedIn acts on the information and explains the result. Users should see whether a post was removed, downranked or left in place, while authors need an appeal when original writing is mislabeled. The platform should target deceptive mass production rather than casual assistance with spelling or translation. Employers and recruiters also need authentic identity signals that do not require publishing private data. A professional network loses value when people cannot tell whether an experience, recommendation or opinion reflects a real person.

User reports can improve detection, but they can also become a tool for harassment or disagreement. LinkedIn will need to separate style preferences from deceptive automation and provide meaningful appeals. Removing its own writing generator is the stronger signal. A professional network has more value when software helps people communicate clearly without making every post sound as if it came from the same machine.