Deepfake videos are now going to ban, facebook states. To fight online manipulation, false but realistic clips are going to be created with the assistance of artificial intelligence and sophisticated tools.
Late on Monday, the social network says that it's beefing up its policies to get rid of videos edited or synthesized in ways which aren't apparent to the average person, and which could deceive someone into thinking about the subject that someone says something, that no one says.
Created by artificial intelligence or machine learning, deepfakes combine or replace content to make images which will be nearly not possible to say aren't authentic.
Facebook's vice president of global policy management, Monika Bickert, said during a blog post that” Whereas these videos are still rare on the internet, as their use will increases they present a major challenge for our industry and society."
However, she further says that the clips will be edited just to change the order of words, This new rule won't include parody or satire.
Social media services like facebook and others are in their struggle to stop the sharing of online misinformation and fake news, while also respecting free speech and avoiding allegations of censorship.
The technology company of the united states has been grappling with how to handle the rise of deepfake videos after facing some fake footage and videos that have been posted. The company said at the time that neither of the videos violated its policies.
As the problem of alerting videos is increasing, the experts and lawmakers are trying to find out how to prevent these deepfake videos from being used during US presidential elections in November.
Facebook said any videos that don't meet existing standards for removal can still be reviewed by fact-checkers. Those deemed false is going to be flagged intrinsically to anyone trying to share or view them that Mr.Bickert said, was a better approach than just taking them down.
If we simply remove those fake videos flagged by fact-checkers, the videos would still be available on the internet or social media ecosystem," Bickert said. "By leaving them up and labeling them as false, we're providing people with important information and context.