LinkedIn has introduced a new feature allowing users to flag posts they believe are AI-generated or low-quality "AI slop" [1, 2].
The move addresses a growing frustration among professionals regarding the proliferation of automated content. By crowdsourcing the identification of synthetic text, the company aims to reduce spam and maintain the perceived authenticity of professional networking.
Chief Product Officer Hari Srinivasan said the targeted content "seems like AI slop" [1]. The tool enables users to mark posts that appear to be generated by artificial intelligence without human oversight or value-add.
LinkedIn intends to use the data gathered from these user flags to refine its own AI models [1]. This feedback loop is designed to help the platform better detect and filter low-quality content automatically in the future.
The rollout began on July 30, 2026, and is available to users worldwide [1]. The initiative comes as platforms struggle to balance the efficiency of generative AI with the need for genuine human interaction.
By turning its user base into content watchdogs, LinkedIn is shifting some of the burden of moderation to the community. This approach mirrors reporting systems used for hate speech or misinformation, but applies specifically to the quality and origin of the prose.
“"Seems like AI slop."”
This development signals a pivot in how social platforms handle generative AI. Rather than relying solely on technical watermarks or algorithmic detection—which often fail to keep pace with evolving LLMs—LinkedIn is leveraging human intuition to define 'quality.' This suggests that the industry is moving toward a hybrid moderation model where human sentiment determines the threshold for what constitutes acceptable AI assistance versus disruptive noise.
