LinkedIn has introduced a "Seems like AI slop" button that allows users to flag posts they suspect are AI-generated spam [1, 2].
This move highlights the escalating battle between social platforms and generative AI tools used to flood feeds with low-quality, automated content. As AI-generated text becomes more indistinguishable from human writing, platforms are increasingly relying on crowdsourced reporting to maintain the integrity of professional networking.
Users can access the new feature by clicking the three-dot menu in the upper-right corner of a post and selecting the "Seems like AI slop" option [3]. The tool is designed to target what the company describes as "AI slop," low-quality automated comments, and posts that clutter the user experience [1, 2].
Chief Product Officer Hari Srinivasan said the issue has become a critical concern for the platform. "AI slop is a top priority for all of us," Srinivasan said [1, 2].
The reporting tool follows a massive internal effort to curb automation. LinkedIn said it has blocked billions of automated comment attempts in the last few months [1]. While some reports indicate the tool is currently being tested, others suggest the feature has already been integrated into the platform [2].
The rise of "slop" — a term used to describe unhelpful, AI-generated filler content — has plagued various corners of the internet. By giving users a specific category for AI spam, LinkedIn aims to better train its internal detection systems and remove content that does not provide genuine professional value [1, 2].
“"AI slop is a top priority for all of us."”
The introduction of a dedicated 'slop' button signals a shift in content moderation where platforms acknowledge that traditional spam filters are insufficient against generative AI. By labeling this content specifically as 'slop' rather than general spam, LinkedIn is attempting to define a new category of digital pollution that is technically valid but qualitatively worthless, reflecting a broader industry struggle to preserve human authenticity in professional digital spaces.
