LinkedIn Launches Anti-AI Slop Button

LinkedIn introduced a new "AI slop" button on July 30, allowing users to flag content they believe is low-quality and AI-generated. This feature, appearing as a diamond with an exclamation point in a three-dot menu on posts, aims to help LinkedIn "tune our models and make better feeds," according to Hari Srinivasan, LinkedIn's chief product officer. The button is part of a broader strategy to reduce "generally low-quality content" by employing an AI-versus-AI approach, training its own detection models to differentiate original thinking from regurgitated information. This initiative addresses the growing challenge of AI-written content dominating social media platforms and the need to surface human-generated ideas.

The "AI slop" problem is particularly acute on LinkedIn. A July study by AI detection service Pangram revealed that one in four long-form posts across LinkedIn, Medium, X, Reddit, and Substack were flagged as AI-generated over the preceding two months. Of these flagged posts, LinkedIn accounted for a significant two-thirds. This widespread issue aligns with the "dead internet theory," which posits that most online activity is now generated by non-humans. Cloudflare reported in June that bots now generate 57.5% of web page requests, underscoring the pervasive nature of automated content.

Platforms are actively developing and integrating AI detection and mediation features directly into their user experiences. This allows individual users to have a voice in how AI-generated content is managed and displayed. The "AI slop" button on LinkedIn is a concrete example of this trend, empowering users to contribute to the platform's content quality. By enabling users to report content that appears to be AI-generated and of low quality, LinkedIn seeks to leverage its user base to refine its content moderation and recommendation algorithms. This user-driven feedback loop is crucial for maintaining a valuable and engaging platform in an era increasingly influenced by artificial intelligence.

The introduction of such features reflects a broader industry-wide effort to grapple with the implications of advanced AI on content creation and consumption. As AI models become more sophisticated, distinguishing between human and machine-generated content becomes more challenging. LinkedIn's proactive measure signals a commitment to preserving the authenticity and originality of content shared on its professional networking platform. The success of this feature will likely depend on its effectiveness in accurately identifying "AI slop" without unduly suppressing legitimate AI-assisted content or original human contributions. The company's strategy appears to be a direct response to the escalating volume of AI-generated text and its potential to dilute the quality of information and discourse online.