Washington Post: How to spot a fake video

Washington Post: How to spot a fake video. “Have you ever felt like you can’t trust all the video on your newsfeed? Videos are often misrepresented or manipulated these days, with few tools on how to determine what’s real versus fake. The Washington Post’s Fact Checker team put together a guide to teach you how to be your own video investigator.”

MIT Technology Review: The year deepfakes went mainstream

MIT Technology Review: The year deepfakes went mainstream. “The vast majority of them are still used for fake pornography. A female investigative journalist was severely harassed and temporarily silenced by such activity, and more recently, a female poet and novelist was frightened and shamed. There’s also the risk that political deepfakes will generate convincing fake news that could wreak havoc in unstable political environments. But as the algorithms for manipulating and synthesizing media have grown more powerful, they’ve also given rise to positive applications—as well as some that are humorous or mundane. Here is a roundup of some of our favorites in a rough chronological order, and why we think they’re a sign of what’s to come.”

Mashable: Microsoft is launching new technology to fight deepfakes

Mashable: Microsoft is launching new technology to fight deepfakes. “When used in the context of movies and memes, deepfakes can occasionally be a source of entertainment. But they’re also a growing concern. In the age of fake news and misinformation, deepfakes — i.e. AI-generated, manipulated photos, videos, or audio files — could potentially be used to confuse and mislead people. Microsoft, however, has other ideas. On Tuesday, the company announced two new pieces of technology, both of which aim to give readers the necessary tools to filter out what’s real and what isn’t.”

Mashable: 13 of our favorite deepfakes that’ll seriously mess with your brain

Mashable: 13 of our favorite deepfakes that’ll seriously mess with your brain. “In a rudimentary sense, deepfakes can be a face-swap of sorts, but really it’s more complex. It makes something that wasn’t — swapping in a person for another, changing what they say, shapeshifting reality. That’s why it can be scary. Imagine the damage that could be done making someone say something they did not. But again… they can also be kind of fun. That in mind, we’ve collected some of our favorite amateur deepfake videos but, you know, not the kind that threaten democracy.”

MIT News: Tackling the misinformation epidemic with “In Event of Moon Disaster”

MIT News: Tackling the misinformation epidemic with “In Event of Moon Disaster”. “This provocative website showcases a ‘complete’ deepfake (manipulated audio and video) of U.S. President Richard M. Nixon delivering the real contingency speech written in 1969 for a scenario in which the Apollo 11 crew were unable to return from the moon. The team worked with a voice actor and a company called Respeecher to produce the synthetic speech using deep learning techniques. They also worked with the company Canny AI to use video dialogue replacement techniques to study and replicate the movement of Nixon’s mouth and lips. Through these sophisticated AI and machine learning technologies, the seven-minute film shows how thoroughly convincing deepfakes can be.”

BetaNews: In a world of deepfakes, who can you trust?

BetaNews: In a world of deepfakes, who can you trust?. “Though they seem like something out of a futuristic sci-fi movie, deepfakes are very much a reality. In fact, developers have been experimenting with deepfake technology as far back as the late 1990s. Today, deepfakes have become so advanced and believable that they can cause some serious damage in the wrong hands.”

Gizmodo: Clever Browser Tool Erases People From Live Webcam Feeds in Real Time

Gizmodo: Clever Browser Tool Erases People From Live Webcam Feeds in Real Time. “An extra post-it note is all you really need to prevent someone from spying on you through a laptop’s built-in webcam. But Jason Mayes apparently likes to do things the hard way: He’s developed an AI-powered tool for browsers that can erase people from live webcam feeds in real-time but leave everything else in the shot.” It’s not perfect, but even imperfect it’s pretty damn impressive.

Motherboard: We’ve Just Seen the First Use of Deepfakes in an Indian Election Campaign

Motherboard: We’ve Just Seen the First Use of Deepfakes in an Indian Election Campaign. “With deepfake election campaigns though, we are crossing over into an era where it’s going to be impossible to trust what we see and hear. The video of Tiwari, seated in front of a green-coloured wall and talking to the camera, was used to reproduce a forged version where he says things he never actually said, in a language he doesn’t even know! In this case, the speech was scripted, vetted and approved by the BJP for the creation of the deepfakes. But it’s not difficult to imagine someone faking a video to issue threats or hate against a specific section of the population.”

Berkeley Engineering: UC Berkeley professor influences Facebook’s efforts to combat deepfakes

Berkeley Engineering: UC Berkeley professor influences Facebook’s efforts to combat deepfakes . “Hany Farid, a Berkeley professor of electrical engineering and computer sciences, was one of the researchers Facebook approached last year. The company ultimately invested $7.5 million with Berkeley, Cornell University and the University of Maryland to develop technology to spot the deepfakes. In a brief interview, Farid, who has a joint appointment at the School of Information, said manipulated videos, which often portray politicians and celebrities saying or doing things they didn’t do, pose a serious threat to society.”

Ars Technica: I created my own deepfake—it took two weeks and cost $552

Ars Technica: I created my own deepfake—it took two weeks and cost $552. “My Ars overlords gave me a few days to play around with deepfake software and a $1,000 cloud computing budget. A couple of weeks later, I have my result, which you can see above. I started with a video of Mark Zuckerberg testifying before Congress and replaced his face with that of Lieutenant Commander Data (Brent Spiner) from Star Trek: The Next Generation. Total spent: $552.”