LinkedIn fights 'AI slop' with new user reporting tool
The professional network is curbing machine-generated noise by allowing users to flag low-quality AI content and stripping back its own generative writing tools.
LinkedIn is launching a targeted campaign against the surge of low-quality, machine-generated content on its platform. The professional network is testing a new reporting feature that allows users to flag posts as "seems like AI slop," a move designed to prioritize human authenticity over algorithmic volume.
Under the new system, users can privately mark content as AI-generated slop. These flags will trigger a reduction in the post's algorithmic reach, functioning similarly to the existing "not interested" feature. In a simultaneous shift, LinkedIn is removing its "enhance your post" AI rewriting tool. This generative feature is being replaced by a limited proofreading tool designed to correct grammar while preserving the author's original tone. Hari Srinivasan, LinkedIn's Chief Product Officer, stated that the new tool "proofreads your words, but does not change your voice."
The saturation of professional feeds
This pivot comes as the platform struggles with an influx of generic, low-value content. While LinkedIn initially promoted AI writing tools to help users scale their presence, the strategy backfired as the network became a primary hub for inauthentic output. The scale of the problem is highlighted by data from AI detection firm Pangram, which found that LinkedIn is currently the most AI-saturated social platform. According to the study, more than 40% of longform posts on the site were flagged as being fully AI-generated.
Protecting professional trust
For a network built on subject-matter expertise and professional trust, the prevalence of "slop" represents a systemic risk. When feeds are flooded with machine-written platitudes, the value of genuine professional insight is diluted, potentially leading to user attrition. By introducing user-driven reporting and restricting its own generative capabilities, LinkedIn is signaling that human expertise is more valuable to its ecosystem than the sheer volume of posts. This reflects a broader industry trend where platforms are recalibrating their relationship with generative AI to prevent their feeds from becoming unusable noise.
The road to authenticity
As LinkedIn rolls out these changes, the company is focusing on maintaining the integrity of professional networking. The shift toward a "human-centric" content model suggests that the era of unchecked AI-assisted growth on the platform is ending. Observers will now be watching to see if user-led flagging is sufficient to deter the production of AI slop, or if the platform will need to implement more aggressive automated detection to keep its professional community engaged.