X has started testing automatic labels for posts containing AI-generated content. The label beneath a tweet now specifies exactly what was generated by AI: text, an image or a video.
With these labels, the social network is trying to clean up its feed by removing fake content and low-quality posts.
From manual labeling to automatic scanning
Previously, creators had to manually indicate the use of AI before publishing, or a brief label with no additional details appeared beneath the post.
Now the platform's algorithm performs the check automatically. Tweets are scanned as they're published, and if the algorithm detects AI-generated elements, a warning appears beneath the post. Readers can immediately see which elements were generated by AI and which were created by the author.
False positives and moderation issues
The main problem with this type of check — is the algorithm's frequent errors. The platform's algorithm often confuses original content with AI-generated content, mistaking standard color correction, filters or audio cleanup for AI-generated files.
As a result, even a regular video or photo may receive a label after standard editing. There's no quick way to dispute such a label through support, and audience trust in the post immediately declines.
What changes when driving traffic
For those managing account networks or driving organic traffic through tweets, these labels significantly reduce click-through rates. Users are less willing to open links and less likely to read entire threads if a post carries a warning from the platform.
In addition to declining click-through rates, labeled tweets lose additional reach. The platform's algorithm displays questionable posts less frequently in the general feed, making it more difficult to generate organic traffic from AI-generated creatives.
