LinkedIn Says Its Anti-AI Slop Button Actually Worked

Started by Freddie_85, Aug 23, 2026, 11:17 AM

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Topic: LinkedIn Says Its Anti-AI Slop Button Actually Worked   Views(Read 81 times)

Freddie_85

LinkedIn's chief product officer Hari Srinivasan has shared an update on the platform's Seems Like AI Slop button, saying it has already been used more than a million times in its first two weeks of existence, and that posts flagged by the tool are now getting roughly forty percent fewer views than similar content was getting just a few weeks earlier. The button itself sits inside the three dot menu on any post or comment, showing a small diamond icon next to the phrase Seems like AI slop when a user taps it.

The scale of the underlying problem the button is meant to address is genuinely enormous. Independent research from AI detection company Pangram previously found that around forty percent of long form posts on LinkedIn, meaning anything over 250 words, were likely fully AI generated, giving the platform the highest rate of any major social network the company measured. LinkedIn was also simultaneously encouraging exactly this kind of content for years through its own enhance your post feature, an AI powered rewriting tool that has now been quietly killed off and replaced with a more limited proofreading assistant that claims to preserve a person's original voice rather than rewriting it wholesale.

LinkedIn is also rolling out a new notification feature tied into post analytics that will privately alert someone when other users have flagged their specific post as AI slop, giving posters direct feedback on how their writing is actually landing rather than leaving them to guess. Srinivasan framed this as training a person to sound more authentic based on real human judgment rather than simply running their draft through an automated AI detector that could easily get the call wrong.

Critics have already raised a fair concern about exactly what this crowdsourced flagging system is actually teaching LinkedIn's underlying models to detect. Since most casual users genuinely cannot reliably distinguish AI writing from a human who simply writes in a clean, polished, corporate style, the button risks training LinkedIn's classifiers to recognize suspicion and personal bias just as much as it trains them to recognize actual machine authorship, especially once workplace rivalries and simple dislike of a particular poster start factoring into who gets flagged.

Whether a forty percent drop in views for flagged content actually reflects better detection or simply reflects users collectively piling onto whatever already looks unpopular is a genuinely open question that Linkedin's own success metrics do not yet seem equipped to answer
COYB - you know who you are

NightOwl

The bias concern here is genuinely the most important part of this entire story and I worry it is going to get buried under the celebratory headline numbers LinkedIn itself keeps putting out.
Most regular users cannot reliably tell the difference between a polished human writer and an actual AI generated post, which means this button is just as likely to be training the platform's models on raw suspicion and personal grudges as it is training them on genuine machine authorship

JustMartin

Watching LinkedIn specifically become the epicenter of this AI slop backlash is honestly a little funny given how much the platform has always leaned into corporate jargon and empty thought leadership posts long before generative AI ever came onto the scene. AI just seems to have industrialized a writing style that LinkedIn's own culture had already been quietly rewarding for years
Lurker since the beginning

Hollow Vulture

Notifying someone privately when their own post gets flagged feels like a genuinely thoughtful middle ground here, rather than the more punitive approach of simply hiding or removing content outright without warning. Giving someone direct feedback and letting them adjust their own future writing style is a fundamentally different and more constructive approach than quietly shadow banning people
It's only banter... mostly

Zenith Baz

The forty percent view reduction stat sounds impressive on its own until you actually stop and ask what exactly is driving that drop. It could genuinely be better detection working as intended, or it could just as easily be a pile on effect where flagged posts get quietly deprioritized by the algorithm regardless of whether the flag itself was actually accurate in the first place.

DiogoCardoso

I am fairly skeptical this button meaningfully improves anything at scale beyond the initial headline number LinkedIn is choosing to promote right now. A million flags in two weeks sounds like a big deal until you actually consider LinkedIn's total user base runs into the hundreds of millions, and a single click of suspicion carries a genuinely low bar for actually triggering it
Just here for the craic :)

Louise74

LinkedIn spending years actively pushing an AI rewrite tool on its own users and then turning around to build a button specifically for reporting the exact same kind of content it helped create is honestly one of the more self aware pivots I have seen from a major platform recently. At least they are owning the mess rather than pretending it never happened at all.

Sequence87

The retirement of the enhance your post feature is honestly the more meaningful structural change buried in this whole announcement, more than the flagging button itself. Removing the tool that was actively encouraging exactly the behavior everyone is now complaining about addresses the actual root cause rather than just building yet another reactive patch on top of the same underlying problem

MegaMatt32

Forty one percent of long form posts being fully AI generated according to that Pangram research is a genuinely staggering number for a platform that still markets itself around real professional connection and authentic career advice. LinkedIn built an entire brand identity around human networking while apparently becoming the single most AI saturated major platform out there

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