VentureBeat: Jigsaw’s Assembler helps media organizations spot deepfake images

VentureBeat: Jigsaw’s Assembler helps media organizations spot deepfake images. “In an age of pervasive deepfakes, how can anyone know if an image they’re viewing is an AI-generated fabrication? Jigsaw — the organization working under Google parent company Alphabet to tackle cyberbullying, censorship, disinformation, and other digital issues — is prototyping a tool called Assembler to address this concern. Jigsaw CEO Jared Cohen revealed in a blog post that the tool is being piloted with media organizations to help fact-checkers and journalists pinpoint and analyze manipulated media.”

Poynter: Photos and videos allegedly showing the coronavirus are now challenging fact-checkers

Poynter: Photos and videos allegedly showing the coronavirus are now challenging fact-checkers . “Since Friday, more than 60 fact-checkers from different countries have been working together in a collaborative project coordinated by the International Fact-Checking Network to debunk hoaxes related to the lethal virus. So far, the group has flagged more than 80 pieces of misleading content — mainly regarding the origins of the fatal virus, a false patent created years ago and some weird ways to prevent or cure it. But the toughest barriers fact-checkers have faced so far are images and videos that supposedly show scenes of what is happening in China.”

Artnet: How the National Archives’ Notorious Alteration of a Women’s March Photo Is Part of a Long American Tradition

Artnet: How the National Archives’ Notorious Alteration of a Women’s March Photo Is Part of a Long American Tradition. “What distinguishes these past controversies from the Archives affair is that they involved hiding artifacts and information from public view or offering a new interpretation. The episode surrounding the Women’s March photo, on the other hand—one that is characteristic of the Trump era—involved actually altering an artifact being shown to visitors. The vigorous reaction from curators and historians shows that there is a clear consensus that this crossed a line.”

PetaPixel: Instagram is Now Hiding Photoshopped Photos

PetaPixel: Instagram is Now Hiding Photoshopped Photos. “In an effort to combat misinformation and fake news, Instagram recently rolled out a new feature that flags fake photos. But now some photographers are wondering whether the system is going too far and making it harder to share and view certain types of photography.”

Washington Post: How to spot a Photoshopped image, or, The Problem with the Internet

Washington Post: How to spot a Photoshopped image, or, The Problem with the Internet. “The Internet facilitates ignorance as readily as it does knowledge. It allows us to build reinforcements around our errors. It allows us to share a fake image and wave away concerns because the target of the image is a shared enemy for your in-group. Or, simply, to accept a faked image as real because you’re either unaware of obvious signs of fakery or unaware of the unlikely geopolitics that surround its implications.”

CNN: Now fake Facebook accounts are using fake faces

CNN: Now fake Facebook accounts are using fake faces. “Artificially-generated faces of people who don’t exist are being used to front fake Facebook (FB) accounts in an attempt to trick users and game the company’s systems, the social media network said Friday. Experts who reviewed the accounts say it is the first time they have seen fake images like this being used at scale as part of a single social media campaign.”

Photoshop detector: Adobe demos tool that identifies picture editing (CNET)

CNET: Photoshop detector: Adobe demos tool that identifies picture editing. “…About Face uses machine learning to determine if a face in a photo has been manipulated in Photoshop. It looks at the pixels of a photo and offers the probably from 0% to 100% of whether the image has been altered. It can also tell you what parts of the face were changed and undo those changes to reveal the original, un-Photoshopped image.”