Meta updates creator tools to combat impersonation and AI slop

On Friday, Meta announced new tools to detect impersonation alongside updated creator guidelines for Facebook. The updates aim to better define what the platform considers “original content,” following widespread complaints that the social media platform has become an “AI slop hellscape.” Under the updated guidelines, Meta defines original content as material filmed or produced directly by a creator, or reels that remix or overlay existing content to present something new, such as analysis, discussion, or new information. Conversely, content that involves only minor edits or is duplicative of that will be deemed unoriginal and deprioritized. This means low-value changes, such as adding borders or captions to re-uploaded videos, will no longer be sufficient to differentiate unoriginal content from its source.

These changes build on a crackdown initiated last year against spammy and unoriginal posts—such as repeatedly reusing another creator’s photos, videos, or text—which Meta launched to push back against “AI-generated slop” and other low-quality content. According to Meta, these earlier efforts successfully boosted engagement: views of and time spent watching original content on Facebook approximately doubled during the second half of 2025 compared to the same period the year before. Additionally, the company reported progress in combating bad actors, stating it removed 20 million accounts in total last year. This enforcement coincided with a 33% drop in the number of impersonation reports targeting large creators.

To build on this progress, Facebook is testing enhancements to its content protection tools. These updates allow creators to take action when their reels are detected across Facebook’s platforms after being published by impersonators. From a central dashboard, creators can flag that content, and Meta aims to make the reporting process even easier by allowing creators to submit reports all in one place. However, the current tool is focused strictly on matching duplicate content, rather than detecting the unauthorized use of a creator’s likeness. Meta is not the only platform addressing these challenges. Competitor YouTube is also expanding its own AI deepfake detection tools to cover politicians, public figures, and journalists.

Why it matters

Meta views the containment of unoriginal content and impersonation as critical to maintaining Facebook’s viability as a creator platform. If low-quality automated content drowns out original creators, the platform risks losing the talent pool that drives its user engagement and monetization.