LinkedIn has officially announced a new feature that lets users report posts they believe are AI-generated slop. The aptly named "Seems like AI slop" button is part of the platform's ongoing effort to curb the flood of low-quality, algorithm-bait content that has become increasingly common on the professional networking site. The announcement was made by Hari Srinivasan, LinkedIn's chief product officer, in a post on the platform detailing the company's evolving strategy to combat AI-generated noise.
What is AI slop?
AI slop, as defined by Merriam-Webster, is "digital content of low quality that is produced usually in quantity by means of artificial intelligence." The term has become so widespread that it now appears as the first entry under "slop" in the dictionary's online edition. The Associated Press has also added an entry for AI slop in its latest style guide, reflecting how deeply the phenomenon has permeated online discourse.
AI slop can take many forms: mass-produced AI-generated images, music, videos, and text posts that are created primarily to game algorithms, generate clicks, and earn money. On LinkedIn, the typical AI slop post often follows a recognizable formula: a vague assertion about leadership lessons discovered in an unexpected place, a nod to today's "fast-paced world," several short, punchy sentences with dramatic line breaks, and a closing line encouraging readers to "let that sink in." The result is often a post that sounds profound but carries little substance.
How LinkedIn is fighting AI slop
In his announcement, Srinivasan said LinkedIn has invested heavily in automated defenses, particularly in the comments section, where AI-generated engagement has become a major problem. The platform is introducing new classifiers designed to identify low-quality content, but Srinivasan stressed that automated systems are not enough. Real user feedback, he explained, is far more valuable in detecting the nuanced signs of AI slop. That is where the new "Seems like AI slop" button comes in.
Users will now see the option to report posts they suspect are AI-generated slop. When a user flags a post, the person who created it will be able to privately see in their dashboard that some audience members found their content inauthentic. This feedback mechanism is intended to encourage creators to be more thoughtful about how they use AI, while also reducing the visibility of posts that are flagged.
Posts that receive multiple "Seems like AI slop" reports will likely see a smaller reach in the feed, particularly among users outside the poster's immediate network. This means that slop-heavy accounts, which often rely on broad exposure to generate engagement, could see their influence diminish significantly. Srinivasan emphasized that the goal is not to penalize all AI-generated content, but to distinguish between content made in good faith and content that is mindless, disingenuous, or solely designed to farm engagement.
Why does LinkedIn attract so much AI slop?
LinkedIn's culture has long rewarded performative "hustle culture" and the constant production of "C-suite level thought leadership" posts. Many users feel pressured to maintain a visible presence on the platform, leading some to resort to AI tools to churn out content that looks professional but lacks genuine insight. This dynamic creates an environment where quantity often trumps quality.
Hootsuite has noted that LinkedIn's algorithm rewards topic relevance, post engagement, and topic consistency. That means a user who posts two to three AI-generated pieces a day about leadership or career advice can achieve far greater reach and engagement than someone who shares authentic thoughts on the same subjects only a few times a month. The algorithm's preference for frequent posting inadvertently encourages the production of low-effort content.
An Originality.ai study found that an estimated 81% of long-form posts on LinkedIn are likely AI-generated. That staggering figure explains why users have grown increasingly frustrated with the platform's feed. It also underscores the scale of the challenge LinkedIn faces in trying to filter out slop without alienating users who use AI as a legitimate writing aid.
The broader fight against AI slop
LinkedIn is not alone in its efforts to reduce AI slop. Substack, the digital writing and newsletter platform, recently announced a partnership with Panagram, an AI detection company, to show readers how much of a given post may be AI-generated. The move is aimed at increasing transparency and helping readers make informed judgments about the content they consume.
Reddit users have also voiced growing frustration with AI-sloppy text posts across countless communities, from book discussion groups to niche hobby subreddits. These posts often follow similar patterns, and longtime users have become adept at spotting them. Some communities have even implemented stricter moderation rules to keep AI-generated content from drowning out authentic voices.
The rise of AI slop can be traced back to the explosion of generative AI tools like ChatGPT, which became widely available in 2023. Suddenly, anyone with an internet connection could produce paragraphs of text in seconds. While these tools have legitimate uses, they also opened the door for engagement farming on an unprecedented scale. Chatbot "speech" patterns are now instantly recognizable, from phrases like "In today's fast-paced world" to the excessive use of em dashes and rhetorical questions.
Despite the growing annoyance, AI slop is unlikely to disappear entirely. The economic incentives to produce it are simply too strong. However, platforms like LinkedIn are taking meaningful steps to limit its reach and popularity. By combining automated classifiers with user-driven reporting, LinkedIn hopes to strike a balance between embracing AI as a productivity tool and preserving the authenticity that makes social platforms valuable.
Srinivasan's post also acknowledged that not all AI-generated content is inherently bad. Some professionals use AI to refine their raw thoughts, improve grammar, or structure complex ideas. The key, he noted, is intent. Content that adds value to the reader, even if it was assisted by AI, should not be penalized. The new reporting button is designed to target the "mindless and disingenuous" content that floods feeds and wastes users' time.
As LinkedIn rolls out this feature, users will likely notice a gradual change in the quality of their suggested content. Fewer slop posts from outside their networks means a more curated and relevant feed. For creators, the private feedback mechanism offers a valuable signal. If readers are repeatedly flagging your posts as AI slop, it may be time to reassess your content strategy or be more transparent about how you use AI.
The introduction of the "Seems like AI slop" button marks a significant shift in how social platforms view AI-generated content. Instead of waiting for detection models to catch every bad post, LinkedIn is empowering its users to take an active role in shaping the quality of their online communities. It remains to be seen how effective the feature will be in practice, but it is a clear sign that platforms are taking the AI slop problem seriously.
For now, LinkedIn users have a new tool to push back against the endless stream of hollow motivational posts and corporate platitudes. The button may not eliminate AI slop entirely, but it gives users a voice in the fight for a more authentic and valuable professional network.
Source:ZDNET News