BusinessSaturday, August 22, 2026· 2 min read

LinkedIn’s AI Quality Controls Draw 1M User Reports

Source: The Verge AI

TL;DR

LinkedIn says more than one million people have used its new “Seems like AI slop” reporting option, giving the platform a strong signal to improve feed quality. Combined with upgraded classifiers, the feature shows how large platforms can use AI detection and community feedback to reduce low-quality automated content.

Key Takeaways

  • 1More than 1 million LinkedIn users have clicked the new “Seems like AI slop” button.
  • 2The tool lets members flag posts that appear to be low-quality or overly automated AI-generated content.
  • 3LinkedIn is pairing user reports with improved classifiers to better identify AI-generated posts.
  • 4The move could help make professional feeds more trustworthy, useful, and human-centered.

LinkedIn Turns User Feedback Into Better AI Quality Control

LinkedIn says its new “Seems like AI slop” button has already been used by more than one million people, a strong sign that users want clearer tools for managing AI-generated content in their feeds.

The feature appears in a post’s three-dot menu and gives members a direct way to flag content that feels low-quality, repetitive, or artificially generated. That kind of large-scale feedback can help platforms better understand what users consider unhelpful automation.

Importantly, LinkedIn is also pairing this community signal with new and improved classifiers designed to identify AI-generated posts. Together, human input and automated detection can create a healthier feedback loop for improving content quality.

  • Scale: Over 1 million reports show broad engagement from users.
  • Trust: Better detection can reduce spammy or low-value posts.
  • Practical impact: The feature is already deployed on a major professional network.

While AI-generated writing is increasingly common, tools like this show a positive path forward: not banning AI outright, but building systems that reward useful, authentic, and high-quality contributions.

Read the original article

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