LinkedIn is actively addressing the proliferation of "AI slop," referring to the low-quality, artificially generated content that has been populating its platform. The company revealed on Thursday the introduction of a new user feature: a "seems like AI slop" button, enabling members to flag posts they suspect were created by artificial intelligence.
This initiative underscores a wider industry movement among online publishing platforms striving to reduce the prevalence of AI-generated content, driven by growing user dissatisfaction with the inauthentic, computer-written posts increasingly saturating the internet.
Illustrating this trend, Substack, a prominent newsletter platform, integrated a tool last week in partnership with Pangram to assist users in identifying AI-written content on its site. Coincidentally, Pangram announced $9 million in new funding this week, specifically aimed at combating the challenges posed by AI content inundating the internet. The issue's impact extends to emerging startups, as evidenced by Digg's closure of its Reddit competitor in March, citing an inability to manage the overwhelming volume of bots on its platform.
The severity of the situation is further highlighted by internet infrastructure firm Cloudflare, which reported that bot traffic now surpasses human-generated requests on the web – a significant milestone achieved sooner than their previous predictions.
In a LinkedIn post, Hari Srinivasan, the company’s Chief Product Officer, acknowledged that the Microsoft-owned social network is grappling with similar challenges. He stated, “AI slop is a top priority for all of us. We really care about this. People come to LinkedIn to connect with real people and share their real perspectives, ideas, and expertise.”
Srinivasan elaborated that the new "Seems like AI slop" button represents just one component of a multi-pronged strategy LinkedIn is implementing to curtail the volume of low-quality, AI-generated content on its platform. The company is also significantly investing in advanced automation defenses, which now successfully block “hundreds of thousands” of automated comment attempts every day, alongside millions of other automation attempts over the last few months alone.
Furthermore, Srinivasan mentioned that LinkedIn is rolling out new classifiers designed to identify "AI slop" or other forms of low-quality content, aiming to decrease its appearance in suggested content recommendations from outside a user's network. The newly introduced button plays a crucial role in this effort, providing valuable signal data that will help LinkedIn refine its AI models for more effective slop detection.
In an additional step, LinkedIn plans to privately flag content in users' dashboards when it appears inauthentic due to substantial AI use. The company's objective with this feedback is to assist creators in enhancing their writing, particularly when they are utilizing AI for refinement rather than generating outright "slop" content.
Significantly, LinkedIn is discontinuing its internal "enhance your post" feature, which previously employed AI to assist with writing. This will be replaced by a new tool focused on proofreading, ensuring grammatical correctness without altering the user's authentic voice.
Srinivasan also highlighted other forthcoming enhancements, including broader access to profile and page verification tools, and the introduction of an option allowing users to block comments from specific company pages they no longer wish to engage with.
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