![]() We look at those what we call signals and we then determine how to show you less of something or show you more of something in response to your preference,” Alison said. “We have tools in our app when you see a recommendation that allows you to say I want to see more of this type of content or see less of it. ![]() When asked how Facebook recommends content, Alison said they look at several signals, and these include the kind of content one has consumed in the past or commented on, and finding creators or pages that share similar content. This also explains why the Facebook app now has the option to share on WhatsApp as well. I think people of an older generation in particular struggle with this," he added.Another trend Facebook says is seeing is that people consume content on the platform, but then share it with friends and family via messaging apps like WhatsApp, Messengers, etc. People presume anything that is printed is truth, but it’s not anymore. "Before the internet everything printed went through some sort of fact check. "We shouldn’t presume anymore that any photo or video is authentic'" said Braun. ![]() Instead he says people need to educate themselves as to how they consume media. Last June, experts told a House committee hearing that instructions on how to create deepfakes were easily accessible on the internet and that a high school student without AI expertise could create a manipulated photo or video overnight. With fake photos it’s a little different".īraun highlighted that the technology is easily accessible and doesn't see Generated.Photos as a security risk. "Right now if you take an image from Google images and post it as your profile picture, you can get your account blocked immediately. "It’s definitely a problem with Facebook for example", he said. He claims he created the tool to be used for marketing or stock photography but admits that the technology could be misused. You can make him happier or younger or a different ethnicity," said Braun. "“It’s like Photoshop except instead of editing pixels you can edit objects and people. ![]() Recently a number of websites have sprung up, each of which creates artificial images of people that don’t exist.ĪBC News recently spoke with Ivan Braun, who created a similar site Generated.Photos, which also uses AI to create fake photo portraits. However, that some of our former employees work for BL is not evidence of any connection between the two organizations." The BL has not responded to ABC News' request for comment. The BL was founded by a former employee, and employs some of our former employees. In a statement released after the story initially came to light last Friday, Epoch Times publisher Stephen Gregory said, "The Epoch Times and The BL media companies are unaffiliated. The 610 Facebook accounts, 89 Facebook pages, 156 Groups and 72 Instagram accounts originated in Vietnam and the U.S. In the picture "Mary Keen" looks like a real person but Graphika and DFRLab experts found inconsistencies in her neckline, some of the color compression and some of the background images. The pictures look completely normal to the naked eye but expert analysis shows telltale signs that the photos have been manipulated as outlined in this example below from the report. The report says that of the more than 900 accounts taken down, "dozens" had used these AI-generated fake faces as profile pictures. This video created by researchers from computer graphics firm NVIDIA shows how easily the GAN technology can be used to create hundreds of fake photos. Profile pictures from the network showed telltales of all three." Facebook provided information to Graphika and the Atlantic Council for analysis in advance of the announcement. Images generated using artificial intelligence, specifically by a machine-learning method known as a GAN, or generative adversarial network, are "notorious for struggling with features that should be symmetrical on the human face, such as glasses or earrings and with background details. A joint report from AI research firm, Graphika, and the Atlantic Council's Digital Forensic Research Lab, a group established to research disinformation, outlined how they identified the artificially created faces from the accounts removed by Facebook.
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