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Over one million people have clicked LinkedIn’s AI slop button

The Verge ·

LinkedIn's new "Seems like AI slop" button has been clicked more than a million times since its launch, according to chief product officer Hari Srinivasan, suggesting the platform's crackdown on AI-generated content is gaining traction. The feature was introduced amid growing concern about the volume of AI-written material flooding the site, and its uptake indicates strong user appetite for flagging such posts.

The button, accessible via the three-dot menu on any post, was announced on 30 July, weeks after AI detection firm Pangram found that 41 percent of LinkedIn's longform posts were fully AI-generated. Alongside the button, LinkedIn rolled out improved classifiers to detect AI content and scrapped a feature that used AI to "enhance" posts; Srinivasan said users are now seeing 40 percent fewer views of flagged AI slop compared with a few weeks ago. LinkedIn is also introducing a notification telling authors when other members have flagged their post as apparent AI content, and the company previously pledged to tackle comments generated at scale with little human input.

  • LinkedIn's AI slop flagging button has been clicked over a million times
  • Comes after 41% of longform posts found to be AI-generated
  • LinkedIn says flagged AI content now gets 40% fewer views

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LinkedIn is a social network where people share work-related news, advice and opinions. Like other platforms, it has seen more posts written with the help of generative AI, software that produces text in response to prompts.

Some readers value these tools, while others worry that large amounts of generic or inaccurate material can make useful posts harder to find. LinkedIn lets members report content they think is AI-generated, and the company uses automated systems to help assess posts.

The issue matters because LinkedIn’s recommendations affect which posts reach readers, while its rules shape how members can use the site. Deciding what counts as low-quality AI content can also be difficult, since people may use AI in different ways and posts may not clearly show how they were made.

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