LONDON, August 23 — LinkedIn reported Thursday that posts flagged as AI-generated content are receiving 40 percent fewer views since a new reporting tool launched in late July. The platform’s Chief Product Officer, Hari Srinivasan, shared the update in a post, noting that over a million users have clicked the “Seems like AI slop” button since its release. This action, accessible via the three-dot menu on any post or comment, allows users to signal low-quality AI-generated material.
The 40 percent drop in views reflects how users are responding to the flagging system, not a reduction in AI content itself. Srinivasan emphasized that the metric tracks engagement, not the volume of AI posts.
He thanked users for their feedback, stating, “This helps us better understand how our community experiences low-quality content.” The tool’s purpose is to empower users to curate their feeds, though LinkedIn clarified it does not automatically remove flagged posts. LinkedIn has also enhanced its detection systems. The company introduced “new and improved” classifiers to identify AI-generated content more effectively. These updates aim to address growing concerns about the flood of synthetic material online.
Srinivasan acknowledged the challenge, saying, “I’m increasingly conscious of how to not sound like AI,” and stressed the platform’s goal: “to provide helpful feedback.” A key change is a new feature in Post Analytics. If a post receives significant community feedback, users may now see insights into how their content is perceived.
This step builds on LinkedIn’s assumption of good intent, focusing on education rather than punishment. The platform remains committed to fostering “real people and real perspectives,” a priority it described as “very top of mind.” While the 40 percent figure is a clear indicator of user behavior, LinkedIn cautioned against overinterpreting the data. Srinivasan noted that individual experiences vary based on network and feed algorithms.
The company plans to continue refining its tools, balancing innovation with the need to protect authentic human interaction online.
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