LinkedIn has announced a new moderation tool designed to address one of the most complained-about features of modern social media: AI-generated “slop.” The platform is adding a “Seems like AI slop” button that lets users flag posts they believe are low-quality, mass-produced, and inauthentic.
Key facts at a glance
- LinkedIn is introducing a “Seems like AI slop” reporting button for users.
- The button is part of a broader effort to reduce low-quality AI-generated content on the platform.
- An Originality.ai study found that 81% of long-form LinkedIn posts are likely AI-generated.
- Users who are flagged will be able to see feedback in their dashboards.
- Suspected slop posts will receive reduced reach in suggested feeds.
What is AI slop?
Merriam-Webster defines AI slop as “digital content of low quality that is produced usually in quantity by means of artificial intelligence.” The term has moved from internet slang to mainstream vocabulary so quickly that it now appears as a primary dictionary entry for “slop.” The Associated Press has also added guidance for journalists on how to use the phrase.
AI slop can include mass-produced AI-generated images, music, videos, and text posts. The goal is often to game algorithms, attract views and clicks, and generate revenue. On LinkedIn, the phenomenon typically takes the form of motivational-sounding posts that follow a familiar template: a vague revelation, a series of short sentences, dramatic line breaks, and a closing invitation to “let that sink in.”
How LinkedIn’s new reporting button works
Hari Srinivasan, LinkedIn’s chief product officer, announced the change in a post on the platform. He said LinkedIn has invested in automated defenses, especially in the comments section, and is introducing new classifiers to identify low-quality content. But he stressed that automated models are not enough. Real user feedback is more valuable, so the company is asking members to use the “Seems like AI slop” button when they encounter suspicious posts.
According to Srinivasan, people who create posts will be able to privately see in their dashboards when audience members feel their content is inauthentic. The feedback
Source: ZDNET News