The Next Web: Ask the suspect to turn sideways. “Researchers have discovered a surprisingly simple way to detect deepfake video calls: ask the suspect to turn sideways. The trick was shared this week by Metaphysic.ai, a London-based startup behind the viral Tom Cruise deepfakes.”
Found at Boing Boing: This X Does Not Exist. From the front page: “Using generative adversarial networks (GAN), we can learn how to create realistic-looking fake versions of almost anything, as shown by this collection of sites that have sprung up in the past month.” There are 36 sites here, from ones you’ve probably heard of (This Person Does Not Exist) to ones that might have escaped your attention (This Beach Does Not Exist, This Horse Does Not Exist).
Yale News: Analysis unlocks secret of the Vinland Map — it’s a fake. “The Vinland Map, once hailed as the earliest depiction of the New World, is awash in 20th-century ink. A team of conservators and conservation scientists at Yale has found compelling new evidence for this conclusion through the most thorough analysis yet performed on the infamous parchment map.”
Intelligencer: How Much of the Internet Is Fake? Turns Out, a Lot of It, Actually.. “How much of the internet is fake? Studies generally suggest that, year after year, less than 60 percent of web traffic is human; some years, according to some researchers, a healthy majority of it is bot. For a period of time in 2013, the Times reported this year, a full half of YouTube traffic was ‘bots masquerading as people,’ a portion so high that employees feared an inflection point after which YouTube’s systems for detecting fraudulent traffic would begin to regard bot traffic as real and human traffic as fake. They called this hypothetical event ‘the Inversion.’”
Wired: This Browser Extension Is Like An Antivirus For Fake Photos. “Doctored images are the scourge of the web-wide fight against fake news. Tech companies and researchers can analyze the behavior of a typical bot in order to sniff out new ones. They can limit the reach of news outlets that perpetually share stories flagged as false. They can see when accounts are coordinating their activity and wipe out whole networks at once. But determining whether a photo that’s been meme-ified and screenshotted a thousand times over depicts something real requires a different level of forensic analysis. Researchers are beginning to develop software that can detect altered images, but they’re locked in an arms race with increasingly skillful creators of fake images.”
CNET: Adobe AI learns to spot the photo fakery Photoshop makes easy. “Photoshop fakery is getting more and more sophisticated, but Adobe Systems is using AI to detect when it’s happened. Plenty of photo editing is no big deal, but in some situations — for example, photojournalism, viral photos of politicians or celebrities and forensic evidence used by law enforcement — you might want a better idea of what’s true or not.”
MakeUseOf: How to Spot 7 Online Fakes Used by Scammers. “Anyone who’s used the internet (hopefully) knows that you can’t trust everything you see online. Just because something looks trustworthy doesn’t mean that it’s exactly what it claims. But knowing there are fakes in the wild and being able to spot them are different.” Good roundup article with excellent examples.