
LinkedIn will reduce reach for AI-generated posts, comments, and engagement bait in users’ feeds. The platform will prioritize real voices, authentic perspectives, and lived expertise over generic AI-written content. Systems detect AI “slop,” including repetitive thought leadership, automated comments, and responses that restate others without adding new information. Content flagged as overly generic will be shown to fewer people outside a user’s immediate network, with early testing identifying generic content 94% of the time. LinkedIn also launched Crosscheck, a comparison system that evaluates AI models on writing quality, factual accuracy, reasoning, and usefulness. Users submit prompts and compare two model outputs without knowing which company produced them. LinkedIn expanded ad verification with DoubleVerify to measure fake traffic, brand safety, and geographic accuracy after ads run.
"LinkedIn says it has built systems to detect AI slop, including repetitive thought leadership posts, automated comments and responses that restate someone else's post without adding anything new. Content flagged as overly generic will be shown to fewer people outside a user's immediate network. LinkedIn says early testing correctly identified generic content 94% of the time."
"LinkedIn launched a new comparison system called Crosscheck that tests how AI models perform real tasks. Crosscheck measures things like writing quality, factual accuracy, reasoning and usefulness between different LLMs. Users submit prompts and see responses from two different models without knowing which company made them. They then choose which answer they prefer."
"LinkedIn says this creates more realistic feedback because people judge outputs based on usefulness rather than brand reputation. The company plans to use the data to build leaderboards showing which models perform best for different kinds of work and industries."
"LinkedIn also expanded its partnership with ad verification company DoubleVerify so brands can measure insights across its Audience Network like fake traffic, brand safety and geographic accuracy after ads run. This should give brands more insights and allow greater transparency around what they're paying for, the company said."
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