LinkedIn adds a button to report AI-generated ‘slop’ as it cracks down on low-quality content

Person using LinkedIn app on smartphone, showing new 'Seems like AI slop' reporting button.

LinkedIn is rolling out a new tool that lets users flag posts as “Seems like AI slop” — the latest effort by a major social platform to combat the rising tide of low-quality, artificially generated content. The Microsoft-owned professional network announced the feature on Thursday, positioning it as part of a broader crackdown on inauthentic posts that have frustrated users and eroded trust in the platform.

LinkedIn has introduced a new reporting button that lets users flag posts as “Seems like AI slop” to help the platform identify and reduce low-quality AI-generated content. The feature is part of a broader effort that includes automated defenses and new classifiers to filter such posts from recommendations. The move reflects a growing industry trend to combat the flood of inauthentic AI content across social networks.

How the new reporting button works

In a post on LinkedIn, Chief Product Officer Hari Srinivasan acknowledged the problem directly. “AI slop is a top priority for all of us. We really care about this. People come to LinkedIn to connect with real people and share their real perspectives, ideas, and expertise,” he wrote. The new button will allow users to provide direct feedback on posts that appear to be written by AI, which LinkedIn will use to train its moderation models to better identify similar content in the future.

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LinkedIn is also deploying new automated defenses that it says now block “hundreds of thousands” of automated comment attempts daily, and millions of automation attempts in just the past couple of months. The company is introducing classifiers specifically designed to detect AI slop and other low-quality content, which will reduce the visibility of such posts in suggested content recommendations from outside a user’s network.

A broader industry reckoning with AI content

LinkedIn’s move comes amid a wider backlash against AI-generated content across the web. Last week, publishing platform Substack added a tool to help users identify AI-written content through a partnership with Pangram, a startup that this week announced $9 million in new funding to tackle the problem of AI content flooding the internet.

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The issue has also affected newer platforms. Digg shut down its Reddit competitor in March, citing an inability to control the number of bots flooding the site. Internet infrastructure firm Cloudflare reported that bot traffic now exceeds human-generated requests on the web, a milestone it reached faster than previously predicted.

What LinkedIn is doing differently

Beyond the reporting button, LinkedIn is taking several other steps. The platform will begin privately flagging in users’ dashboards when others believe their content comes off as inauthentic due to heavy AI use. The company says this is intended to help users improve their writing if they are simply using AI to refine their own work, rather than posting what is considered full-on “slop.”

Notably, LinkedIn is removing its own “enhance your post” feature, which used AI to help users write. It is replacing it with a proofreading tool that corrects grammar and spelling without altering the user’s voice. Other improvements include expanding access to profile and page verification tools, and adding an option to block content from company pages users no longer want to see.

The changes signal a shift in how platforms are approaching AI-generated content — moving from encouraging AI-assisted creation to actively policing it. For LinkedIn, which positions itself as a network for authentic professional interaction, the credibility cost of unchecked AI slop is particularly high. The question now is whether these measures will be enough to restore user trust, or whether the battle against automated content will require even more aggressive interventions.

CoinPulseHQ Editorial

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CoinPulseHQ Editorial

The CoinPulseHQ Editorial team is a dedicated group of cryptocurrency journalists, market analysts, and blockchain researchers committed to delivering accurate, timely, and comprehensive digital asset coverage. With combined experience spanning over two decades in financial journalism and technology reporting, our editorial staff monitors global cryptocurrency markets around the clock to bring readers breaking news, in-depth analysis, and expert commentary. The team specializes in Bitcoin and Ethereum price analysis, regulatory developments across major jurisdictions, DeFi protocol reviews, NFT market trends, and Web3 innovation.

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