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LinkedIn cracks down on AI slop with 94% detection accuracy
The Microsoft-owned platform will suppress generic AI-generated posts rather than remove them, claiming 94 per cent accuracy in early detection tests If your LinkedIn feed has felt like it was written by one person with 10 million accounts, you are not imagining things. The platform has become a petri dish for AI-generated posts that say nothing while sounding vaguely inspirational. Now LinkedIn says it is doing something about it. The company announced changes that will target what it calls "AI slop," low-effort, AI-generated content that may sound polished but offers little original thought or expertise. VP of Product Laura Lorenzetti said the platform is building detection systems trained to distinguish between posts that add genuine perspective and posts that feel repetitive, generic, and empty. In early tests, LinkedIn says its system correctly flagged generic content 94 per cent of the time. Flagged posts will not be removed. Instead, they will be suppressed from recommendations, meaning they will still be visible to a poster's direct connections but will no longer spread across the wider feed. The targets are specific. LinkedIn is going after outright engagement bait, recycled "thought leadership" that lacks originality, and posts with obvious AI construction patterns. The company singled out the "it's not X, it's Y" format as one example of the kind of formulaic AI content it plans to demote. The crackdown extends to comments too. LinkedIn will target bot-generated and generic AI comments that add nothing to a conversation, the kind that read like a ChatGPT summary of the post they are replying to. The platform is also going after automation tools that generate AI content at scale. There is, however, a deliberate line being drawn. LinkedIn says AI-assisted content is still welcome, provided it contains original ideas or encourages meaningful conversation. The message is not "stop using AI." It is "stop letting AI do all the thinking for you." That distinction will be difficult to enforce consistently. LinkedIn's 94 per cent accuracy claim sounds impressive, but the company has not shared data on false positives. How often legitimate posts get wrongly flagged as slop is anyone's guess. And the platform has not said how quickly the rollout will happen, noting only that it could take several months before users see less low-quality AI material in their feeds. The move comes as AI-generated content detection is becoming a priority across the tech industry. OpenAI recently adopted C2PA metadata and SynthID watermarks for its image outputs. ByteDance added watermarking and IP guardrails to Seedance 2.0. But text is far harder to fingerprint than images, and LinkedIn's approach, using behavioural signals and stylistic patterns rather than watermarks, is inherently fuzzier. The irony is hard to miss. LinkedIn is a Microsoft property, and Microsoft is one of the largest investors in OpenAI, the company whose tools produce much of the content LinkedIn now wants to suppress. The platform also offers its own AI writing assistant, which auto-generates post drafts and comment suggestions. It is, in effect, building the firehose and the filter at the same time. Still, AI-powered content moderation has to start somewhere. LinkedIn's feed problem is real and getting worse. If suppression works, other platforms will follow. If it does not, the company will have publicly admitted that its feed was broken by AI without managing to fix it.
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'It's ok to use AI to help you write, but your posts and comments need to represent your voice and your perspectives': LinkedIn is finally set to crack down on AI slop -- and save our collective sanity
* LinkedIn exec reveals plans to cut down on AI slop * Move looks to cut down on inauthentic or unoriginal content and posts * Users will no longer see AI-generated content in their recommendations LinkedIn may soon be a much nicer place to network and follow updates from old colleagues after the site announced new plans to cut down on AI-generated "slop" content. In a new blog post, LinkedIn's VP of Product Laura Lorenzetti outlined how the changes will look to get rid of not only blatant engagement bait, but also recycled "thought leadership" and other "generic" content. The move will also see LinkedIn target posts and comments which have obvious signs of being created with AI construction, such as the notorious "em dash problem" and "it's not X, it's Y" phrases, as well as targeting bots and fake, AI-made profiles. LinkedIn targets AI slop "At a time when more people need help navigating work, it's more important than ever that people can learn from real voices, authentic perspectives, and lived expertise," Lorenzetti wrote. "While AI can be a helpful tool for refining language, we're seeing a rise in what many call "AI slop," content that is low-effort, AI-generated content that may sound polished on the surface but lacks any real unique perspective or substance." Lorenzetti said the move was a company-wide effort, with engineers working alongside the site's in-house editorial team to identify certain patterns and build technology to detect and flag AI slop. If AI slop content is detected, the site will now look to ensure these posts are hidden from user's recommendations - although they may still be viewable to a person's direct connections and followers. The system will also look to "learn over time by identifying content that adds perspective, context, or expertise and content that feels generic or repetitive, even if it appears polished on the surface." She added that early results had been "encouraging", noting that members are already seeing fewer of these types of posts in their feeds, "and we expect that to continue over time." The move is sure to be welcomed by LinkedIn's users, who are growing increasingly frustrated with the amount of poor-quality content posted to the site every day, with feeds becoming swamped by nonsensical AI-generated images and adverts, or posts which are clearly engagement farming. However it may still require some finesse, as the platform does offer its own AI-driven writing tools, allowing users to generate or rewrite draft posts before publishing. This may suggest an upgrade or overhaul is coming to the Microsoft-owned platform's AI capabilities. The news is the latest move by LinkedIn to boost its services for users across the world, having recently also launched a set of tools for early business owners, including new Premium Business profiles with dynamic cover images, custom buttons and enhanced profile branding tools to make them more "founder-led" and less "resume-focused." Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.
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LinkedIn declares war on AI slop
AI is everywhere these days. Try as you might to avoid it, you're not likely to succeed. LinkedIn, though, is attempting to draw a line in the sand and, if not completely eliminate the AI slop on its pages, at least cut back on it. The company plans to target low-quality AI posts that distract its users from finding value on the platform. That has been a growing problem in recent months as people have trawled LinkedIn for engagement among professional users. The company's VP of product, Laura Lorenzetti, says LinkedIn isn't banning all posts generated by artificial intelligence. Some, she concedes, actually have some value. Others, though? Those need to go.
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LinkedIn announced a major crackdown on AI slop—low-quality, AI-generated content flooding user feeds. The Microsoft-owned platform claims 94% detection accuracy in early tests and will suppress generic posts from recommendations rather than remove them. The move targets engagement bait, recycled thought leadership, and bot-generated comments while still welcoming AI-assisted content that offers original perspectives.
LinkedIn has declared war on what it calls AI slop, announcing detection systems designed to identify and suppress low-effort, AI-generated content that clutters user feeds with generic, repetitive posts. VP of Product Laura Lorenzetti revealed the platform's new approach targets content that "may sound polished on the surface but lacks any real unique perspective or substance."
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In early testing, the system achieved 94% detection accuracy in correctly flagging generic content, a figure that positions LinkedIn at the forefront of text-based AI content moderation.1

Source: Fast Company
The Microsoft-owned platform will suppress posts from recommendations rather than delete them entirely, meaning flagged content remains visible to direct connections but won't spread across the wider feed. This approach aims to balance content moderation with user autonomy, though the company hasn't disclosed data on false positives or how often legitimate posts might be incorrectly suppressed.
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The crackdown extends beyond simple detection to target specific content patterns that signal low-quality AI-generated content. LinkedIn specifically called out the "it's not X, it's Y" format as emblematic of formulaic AI construction that will be demoted.
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The platform also targets outright engagement bait and recycled thought leadership lacking originality.2
Beyond posts, LinkedIn is addressing bot-generated comments and automation tools that generate AI content at scale. The company aims to eliminate generic AI comments that read like ChatGPT summaries of the posts they're replying to, adding nothing meaningful to conversations.
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Engineers are working alongside the platform's editorial team to identify patterns and build technology that learns over time by distinguishing content that adds perspective, context, or expertise from content that feels generic or repetitive.LinkedIn emphasized that AI-assisted content remains welcome, provided it contains original ideas or encourages meaningful conversation. "It's ok to use AI to help you write, but your posts and comments need to represent your voice and your perspectives," the company stated.
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This distinction between AI writing assistants used for refinement and complete automation presents an enforcement challenge, as the platform itself offers AI writing tools that generate post drafts and comment suggestions.1
The irony hasn't escaped observers: Microsoft, LinkedIn's parent company, is one of the largest investors in OpenAI, whose tools produce much of the content LinkedIn now seeks to suppress. The platform finds itself building both the firehose and the filter simultaneously.
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This may signal an upgrade or overhaul coming to the platform's AI capabilities to better align with the new content standards.2
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The move reflects growing industry awareness of AI content moderation challenges. OpenAI recently adopted C2PA metadata and SynthID watermarks for image outputs, while ByteDance added watermarking to Seedance 2.0. However, text remains far harder to fingerprint than images, making LinkedIn's approach—using behavioral signals and stylistic patterns rather than watermarks—inherently more complex.
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Source: TechRadar
Lorenzetti emphasized the importance of authentic voices and perspectives, stating, "At a time when more people need help navigating work, it's more important than ever that people can learn from real voices, authentic perspectives, and lived expertise."
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Early results have been encouraging, with members already seeing fewer low-quality posts in their feeds, though the full rollout could take several months.2
The success or failure of LinkedIn's approach will likely influence other platforms grappling with similar issues. If suppression proves effective at improving user experience without stifling legitimate AI-assisted content, other social networks may adopt similar strategies.
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If it fails, the platform will have publicly acknowledged that its feed was compromised by user-generated content quality issues without successfully resolving them.1
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