Nieman Lab: Is this video “missing context,” “transformed,” or “edited”? This effort wants to standardize how we categorize visual misinformation. “If a photo has been ’shopped, was it changed just a little or a lot? Did the editing harmlessly change the white balance or fundamentally alter the reality the photo is supposed to represent? Is a tight crop excluding important context or appropriately directing a viewer’s focus to something? Then apply all of that to videos. Where’s the line between a deepfake and a cheapfake? Your head starts to hurt. The unsung heroes of the Internet are the people who develop the standards by which information gets encoded into structured data, and said heroes are now turning their attention to this particular problem, visual misinformation. ”
CNN: The number of deepfake videos online is spiking. Most are porn. “There are at least 14,678 deepfake videos — and counting — on the internet, according to a recent tally by a startup that builds technology to spot this kind of AI-manipulated content. And nearly all of them are porn.”
New York Times: Here Come the Fake Videos, Too. “Artificial intelligence video tools make it relatively easy to put one person’s face on another person’s body with few traces of manipulation. I tried it on myself. What could go wrong?” A deep and pretty scary dive.