As the prevalence of AI-generated images and videos grows on Twitter, the social media giant is taking steps to combat potentially misleading media. In an effort to provide users with more context and information, Twitter is currently experimenting with a new feature called Community Notes for media. This feature will leverage the platform’s crowd-sourced fact checks, applying them to specific photos and video clips shared on the site.
Community Notes allows contributors with high ratings to apply contextual notes to images within tweets. Similar to notes on tweets themselves, these labels can provide additional details, such as indicating if a photo was created using generative AI or if it has been manipulated in any way. By offering this transparency, Twitter aims to help users identify and understand the nature of the media they encounter on the platform.
One of the key benefits of this feature is its potential to curb the viral spread of misleading photos. Twitter’s objective is for the applied notes to automatically appear on “recent and future” copies of the same image, even if they are shared by different users in new tweets. However, Twitter acknowledges that perfecting the image matching process will take time. The current approach prioritizes precision, which means not every visually similar image will be flagged. The company intends to refine the matching system to expand coverage while minimizing false matches.
