LinkedIn Adds a “Seems Like AI Slop” Report Button

LinkedIn turns “AI slop” into a reportable problem

LinkedIn is taking a more explicit stance on the flood of formulaic, AI-sounding posts that have become increasingly visible across professional feeds. The company is adding a new reporting option that lets users flag a post as something that “Seems like AI slop.”

According to The Verge, the option appears inside the three-dot menu on posts. When selected, LinkedIn hides the post and thanks the user for the feedback. The feature is not just a cosmetic complaint button: chief product officer Hari Srinivasan says this input will help LinkedIn tune its models and improve the feed.

What is changing

• A dedicated AI-slop report option: Users can now flag posts that appear inauthentic, overly machine-written, or low quality.
• New classifiers for feed ranking: LinkedIn says it is ramping up systems to identify AI slop or generally low-quality content, especially in suggested posts and content from outside a user’s network.
• Signals for creators: The company is testing ways to show people when others think their posts come across as inauthentic or heavily AI-assisted.
• A shift away from AI rewriting: LinkedIn is removing a feature that used AI to “enhance” posts and plans to replace it with a proofreading tool that does not alter the writer’s voice.

Why it matters

LinkedIn’s problem is not simply that people use AI. Generative tools can help users draft, edit, and organize ideas. The issue is scale: when large volumes of posts follow the same inspirational structure, generic tone, and polished-but-empty phrasing, the feed becomes less useful for professional discovery and conversation.

The Verge notes that AI detector Pangram previously found 41 percent of longform LinkedIn posts were flagged as completely AI-generated. A detector’s result is not the same as a final judgment on authorship, but the figure captures why users and platforms are paying closer attention to authenticity.

For creators, the update is a warning that generic AI-assisted posting may become less effective. Content that lacks personal experience, specific judgment, or a recognizable voice could receive weaker distribution signals or negative feedback from readers.

For LinkedIn, the difficult part will be drawing a fair line between useful AI-assisted writing and low-quality automation. The company’s approach combines user reporting, machine classification, creator feedback, and product design changes rather than a blanket ban on AI writing. That suggests the next phase of AI content moderation will focus less on whether AI was used and more on whether the result feels valuable, original, and human enough for the community.

Source: The Verge AI