Summary:
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LinkedIn is cracking down on generic AI-generated content to promote more authentic engagement and interaction.
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The platform is targeting AI slop, including bot-generated comments and engagement-bait phrases, to boost the quality of content.
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Human-AI hybrid content is outperforming pure AI content in terms of engagement, showing the value of human involvement.
The feeds are full. Polished, inspirational and saying nothing. After two years of handing AI writing tools to its members, LinkedIn is now training a different kind of AI to find and bury what those tools produced.
In May, LinkedIn began changing its recommendation systems to target what it calls “AI slop,” generic posts and comments that lack original perspective. Flagged content is not removed but suppressed so it does not spread beyond a user’s immediate network.
The crackdown extends to bot-generated comments and engagement-bait phrases. LinkedIn is also expanding verification filters, letting users sort by more than 100 million verified members across profile views, job applications and feed conversations.
Content creation on the platform is up 14% year over year, according to LinkedIn editorial VP Laura Lorenzetti, and much of it has started to look and sound the same. The risk for accounts that lean too heavily on automation is real. Industry guides describe a spectrum of enforcement, from shadowbans that drop reach to near zero, to temporary restrictions lasting 24 to 72 hours, to permanent account suspension for repeated User Agreement violations.
Human-AI hybrid content outperforms pure AI content by 156% in LinkedIn engagement, according to Sprout Social analysis of more than 50,000 brand posts.
Audiences and algorithms alike are starting to reward proof of a human behind the post.
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