"LinkedIn needed a way to differentiate the two - squashing AI-generated content that lacks original thought, while allowing higher value content to thrive even if its creator used AI. To do this, LinkedIn is targeting three core areas: Generic AI-written posts and comments, Automation tools used to create AI content, and Attention-bait videos. Its first efforts are starting to roll out now. Here's how LinkedIn is attacking all three AI problems."
"LinkedIn is frustrated by these posts, because they run against what the platform most wants - which is for people to post nuanced insights from their areas of expertise. Content creators also hate these posts, because they make it harder for legitimately valuable content to stand out. The platform is using "AI solving AI" systems to detect generic posts, bot comments, and engagement bait."
"Posts flagged as low-quality likely won't be removed, but the platform may suppress their distribution so they don't spread far beyond a user's immediate network. The tech company says it doesn't want to punish users for using AI tools - only for posting low-value content that lacks original insight, expertise, or perspective. That approach aims to keep higher-value AI-assisted posts visible while limiting the reach of low-quality material."
LinkedIn is addressing an increase in low-quality AI content by using new technology to reduce generic posts, bot comments, and engagement bait. Content creation has risen, and AI tools make it easier to produce large volumes of low-quality material. The platform aims to distinguish between AI-assisted posts that add original insight and AI-written content that lacks expertise or perspective. It targets generic AI-written posts and comments, automation tools used to create AI content, and attention-bait videos. Content flagged as low-quality is likely not removed, but its distribution may be suppressed so it does not spread beyond a user’s immediate network.
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