Twitter is testing Community Notes for images

As AI-generated images and video become more prominent on Twitter, the company is testing out a new feature that could make it easier for people to identify potentially “misleading media.” The company is experimenting with Community Notes for media, which will apply the site’s crowd-sourced fact checks to specific photos and video clips.

The feature allows for Community Notes contributors who have high enough ratings to apply notes to images shared within tweets. Like notes on tweets, the labels could add additional “context” to images, like indicating if a photo was created using generative AI or is otherwise manipulated.

The feature could also address the viral spread of such photos. According to Twitter, the goal is for notes to automatically appear on “recent and future” copies of the same image even if they are shared by separate users in new tweets. However, Twitter notes that it will take some time to perfect its image matching. “It’s currently intended to err on the side of precision when matching images, which means it likely won’t match every image that looks like a match to you,” the company shared. “We will work to tune this to expand coverage while avoiding erroneous matches.”

It’s also worth pointing out that Community Notes’ track record is far from perfect. While the feature can sometimes result in nuanced fact checks or debunks of false claims, Community Note contributors themselves have pointed out that the feature “is not impervious to errors or perpetuating common misconceptions.”

For now, Twitter is testing out notes for media for tweets with a single image only, but the company says it plans to expand the feature to tweets with multiple images and videos in the future. Twitter isn’t the only platform grappling with how the rise of generative and AI and the spread of misinformation. Google also recently introduced features that will help users track an image’s history in search, which could help searchers intuit whether or not a photo was faked.

This article originally appeared on Engadget at