LinkedIn has introduced a "Seems like AI slop" button allowing users to flag low-quality, AI-generated posts on the platform [1].
The move comes as professional networks struggle with an influx of automated content that users find repetitive or devoid of value. By crowdsourcing the identification of this material, LinkedIn aims to improve the overall quality of the feed and discourage the mass production of unedited AI text [3].
Users can access the new feature through the three-dot menu located on individual posts [1], [2]. When a user selects the "Seems like AI slop" option, the platform registers the report to help curb the spread of such content [1].
Unlike traditional reporting tools that might lead to public moderation or content removal, this system focuses on feedback. The person who shared the flagged post is notified privately through their analytics dashboard [1], [4]. This notification serves as a signal to the creator that their content is being perceived as low-quality by the community [5].
The initiative targets a specific type of content known as "AI slop" — a term used to describe the flood of generative AI outputs that lack human oversight or unique insight [1], [3]. The platform is leveraging its user base to identify these patterns more effectively than automated filters alone might achieve [3].
LinkedIn did not provide specific metrics on the volume of AI content currently affecting the platform, but the rollout suggests a growing priority to maintain professional authenticity [4]. The feature is designed to create a feedback loop that encourages users to refine their AI usage or return to human-centric writing [5].
“LinkedIn has introduced a "Seems like AI slop" button allowing users to flag low-quality, AI-generated posts.”
This shift indicates that social platforms are moving away from purely algorithmic detection of AI and toward community-led moderation. By notifying creators privately via analytics, LinkedIn is attempting to shame low-effort content production into a higher standard of quality without implementing heavy-handed censorship or banning AI tools entirely.
