Since the rise of generative AI, major social media platforms have suffered from the proliferation of "AI slop," with LinkedIn, primarily focused on professional communication, being one of the hardest hit. To salvage the declining quality of content and user experience, LinkedIn recently announced new measures to significantly reduce the reach of low-quality posts that show obvious signs of AI generation and lack originality.
In the future, content that is judged by the system as "canned articles" will be removed from the candidate list of the recommendation algorithm and will only be available to the user's direct contacts and followers.
Algorithm-based approach: Targeting AI decoys that "lack authenticity"
If you frequently browse LinkedIn, you're probably familiar with those empty, formulaic AI posts. Laura Lorenzetti, LinkedIn's VP of Product, recently stated in her official blog that this algorithm adjustment will precisely target content that "lacks authenticity and originality."
The authorities will rigorously review posts that are purely for engagement bait, recycled "fake professional" viewpoints, and comments and articles with strong AI sentence structure characteristics (such as frequently using template sentences like "This is not X, this is Y").
LinkedIn admitted that they have not disclosed the specific technical details of the underlying technology used to identify AI-generated spam. The mechanism was established through collaboration between internal engineers and editorial teams to identify patterns in user interaction patterns, thereby distinguishing which content "truly provides new perspectives, background information, or expertise" and which merely "repeates existing viewpoints without contributing anything new."
Once a post is flagged as low-quality AI content by the system, it will no longer appear in the recommended feeds of other unfamiliar users, but the poster's direct contacts and followers can still see it.
Platform policy for walking a tightrope: AI can be an aid, but not a substitute for a pen.
Interestingly, this policy of cracking down on AI content is actually full of subtle contradictions.
Because LinkedIn itself is one of the technology platforms that actively promotes generative AI tools (after all, its parent company is Microsoft), its post editor even has a prominent "Rewrite with AI" button built in.
To avoid contradicting themselves, LinkedIn carefully weighed the wording in their statement. They emphasized that they still welcome AI-assisted content, provided that such posts contain original ideas or spark meaningful conversations.
Analysis and Perspective: Rescuing the Workplace Community from Being Drowned in "Dashes" and "Canned Quotes"
LinkedIn's crackdown on AI-generated irrelevant content was an inevitable and predictable outcome.
Long before the explosion of generative AI, LinkedIn was already rife with over-packaged self-promotion and posts that resembled canned news. The widespread adoption of AI tools simply reduced the production cost of this "ineffective content" to almost zero.
Earlier this year, the LinkedIn community even witnessed an absurd "em dash discourse"—someone pointed out that the overuse of dashes was irrefutable evidence of AI generation, which sparked weeks of pointless debate (even though this was simply because human writers who trained the language models naturally loved to use dashes).
LinkedIn's recent actions pinpoint the survival crisis facing content platforms in the AI era: when generated text is no longer scarce, what becomes scarce are "real experiences" and "unique insights." Simply relying on AI to produce soulless "workplace inspirational quotes" might garner a few likes in the short term, but in the long run, it will be ruthlessly eliminated by algorithms and readers.
The initial results of LinkedIn's testing are quite "encouraging," and the visibility of such AI-generated spam is expected to decrease further in the coming weeks. This is clearly good news for users who are fed up with pre-written, low-quality content.
