Slashdot has reported:
LinkedIn is increasing efforts to limit the spread of low-quality, AI-generated posts, using its own AI systems and a team of former journalists and social media experts to identify content that appears generic. Posts the model flags as low-quality AI content are less likely to be distributed beyond the author’s direct connections.
A report published in July by Pangram, a research firm that tracks AI content online, found that more than 40% of long-form posts on LinkedIn were AI-generated. The report put the share at about 30% on X and Medium, with lower percentages on Reddit and Substack.
LinkedIn previously offered AI tools to edit or rewrite posts, but recently reduced those offerings. The company sees generic AI content as a business problem because similar-sounding posts may leave users with little to learn or gain from professional connections, risking their departure to other platforms.
In August, LinkedIn introduced a button allowing users to flag a post that “seems like AI slop.” Users clicked it more than 1 million times in its first two weeks. The company is now using those efforts alongside its own AI systems to identify slop and encourage members to write in a more personal way.
LinkedIn assembled a team largely made up of former journalists and social media experts, who help train its AI model to recognize what authentic, useful posts look like. The company’s Editor-in-Chief, Dan Roth, said many executives, subject matter experts and other users have grown accustomed to AI’s convenience and now turn to a creator management team for advice after their posts perform poorly.
“A lot of times now today, they'll run it through Claude or Gemini or wherever, they'll post it on LinkedIn and it will perform poorly. And then they come to the team and they're like, 'Why did this do badly?'” Roth said. “And the best thing you can do is give it back to them and be like, 'Did you enjoy reading this? Do you see yourself in this?” The team acts as “content therapists” for users, Roth said.
LinkedIn said last month that improvements to its detection systems had led to a 40% decline in views of content classified as AI slop. Roth said the company is not opposed to AI, adding that “not everyone is a born communicator.” However, content that users do not edit or personalize is less likely to reach a wide audience on the platform.