LinkedIn is rolling out a fresh weapon against the influx of low-quality, AI-generated content flooding its feed. Starting Thursday, users can flag posts they suspect are overly reliant on AI by selecting a new option: the “Seems like AI slop” button. This button appears when a user clicks the options menu on a post, giving them a direct way to signal content that feels inauthentic or mechanically produced.

Hari Srinivasan, LinkedIn’s chief product officer, introduced the feature in a public post, explaining that the ambiguous nature of “slop” makes it a moving target. “Slop is hard to define and the definition changes; this lets us tune our models and make better feeds,” he wrote. The company is also retiring its “enhance your post” tool, replacing it with a feature that proofreads content without altering the user’s unique voice. At the same time, LinkedIn is reinforcing verification for profiles and pages to boost trust.

Behind the scenes, LinkedIn has been intensifying its fight against automated abuse. Srinivasan revealed that the platform detects and blocks hundreds of thousands of automated slop comment attempts every day. Over the past couple of months alone, the company has prevented “billions of other automation attempts (posting at scale, slop).” However, he was careful to distinguish between harmful automation and legitimate AI assistance. Many professionals use AI to refine their thoughts, he noted, and the new tool will even alert users when their own posts might come across as inauthentic. “AI slop is a top priority for all of us. We really care about this,” Srinivasan emphasized.

The move reflects a broader trend across the internet. Since the launch of ChatGPT in 2022, AI-written content has exploded. A recent analysis by the AI detection tool Pangram flagged 40% of long-form posts and 30% of short-form posts on LinkedIn as fully AI-generated. When contacted for comment, a LinkedIn spokesperson directed Fortune to Srinivasan’s announcement.

Other platforms are taking divergent approaches. Snapchat announced on Friday that it will no longer recommend fully AI-generated videos through its Spotlight feature, which curates user-generated content. The restriction does not apply to videos edited or enhanced using Snapchat’s own AI creative tools, though those videos will carry transparency labels. “As low-quality, repetitive, AI-generated content becomes increasingly common across the internet, we want Spotlight to remain a place where people can discover authentic creativity from real people,” the company stated.

Meta, by contrast, is leaning into AI-generated content. The parent company of Facebook and Instagram recently launched Muse Image, a model that creates AI-generated images from a range of references, including people, objects, clothing, styles, and environments. A preview of Muse Video was also released, allowing users to generate video content. All images created with Muse Image include an invisible watermark called “Content Seal” that remains detectable even after cropping, resizing, or screenshots. Meta plans to extend this watermarking to Muse Video soon. During Meta’s second-quarter earnings call, CEO Mark Zuckerberg said these tools would “dramatically expand the universe of content that people can discover across our platform,” adding that they would make services “a lot more useful and engaging for people.”

LinkedIn’s new button is a small but pointed signal in the ongoing battle between authenticity and automation. By giving users a direct way to call out slop, the platform is betting that crowdsourced feedback can help train its algorithms to better separate genuine professional insights from mass-produced filler.