Since digital image editing tools like Adobe Photoshop hit the scene in the late 1980s, there have been heightened concerns about whether photos can be trusted. This long-time worry has become an increasingly common refrain among artificial intelligence's most ardent defenders, but it doesn't serve as a sound defense against criticisms of AI.
There's a clear need for a consistently effective way to tell if an image is fake on news and social media. However, current implementations of fake-detection technology have missed the mark and can potentially undermine the more effective tools that will undoubtedly arrive later.
Amid increasing concerns over AI-generated and edited images, Meta has admitted that it incorrectly censored an actual, unedited image of Donald Trump captured during the July 13th assassination attempt against the former president.
A viral news story on TikTok about "Douglass Barnes" who carried out an "eye for an eye" murder on a cop's daughter is made up, police say.
A new app called Click will verify photos, adding provenance by harnessing the Content Authenticity Initiative.
A prominent French physicist is apologizing after admitting that a viral "distant star" photo he shared on Twitter was not actually captured by the $10 billion James Webb Space Telescope (JWST) but was rather just a slice of chorizo pork sausage.
Two Stanford researchers have found widespread use of fake Linkedin accounts created with artificial intelligence-generated (AI) profile photos. These profiles target real users in an attempt to increase interest in certain companies before passing the successful leads to a real salesperson.
V7 Labs has created a new artificial intelligence-based (AI) software that works as a Google Chrome extension that is capable of detecting artificially generated profile pictures -- like the ones above -- with a claimed 99.28% accuracy.
A team of researchers has put together a new initiative with an available open-source code to help better detect deepfakes that have been edited to remove watermarks with the goal of avoiding the spread of misinformation.
Twitter is the latest tech and media giant to join The Coalition for Content Provenance and Authenticity (C2PA), which focuses on combating misleading and fraudulent online content.
Multiple companies including Microsoft and Facebook as well as researchers from The University of Southern California have developed technologies to combat deepfakes and prevent their spread of false media and misinformation. A group of scientists have still managed to fool them, however.
Technology startup Numbers Protocol is aiming to stop the spread of misinformation in imagery through its app, Numbers Capture, by creating digital "birth certificates" for images and videos and tracking any changes that are made to them.
As more people gain access to the tools to manipulate images – and as those tools become more accessible – a new study says that the public's trust in the photos they see online has been significantly harmed.
Face tuning apps have thrived for years in the mobile phone ecosystem, allowing users to make subtle (and sometimes not so subtle) changes to their appearance for a selfie-obsessed generation.
Somewhere in the mountain of announcements that Adobe dropped this morning—including major updates for both Photoshop and Lightroom—the company found time to unveil a prototype of its much-anticipated "Content Attribution" tool: a system that cryptographically embeds editing and attribution info into photos so that everyone can see when a photo has been edited, how it's been edited, and who the image belongs to.
Some speculate that overall fake news could cost the economy $39 billion a year. Quite a market to grab for a savvy tech startup, even at 1%! But while fake news and in particular deep fakes have been accused of wreaking havoc on minds and economy, there is surprisingly only a minimal amount of companies offering tools to combat them.
South Dakota photographer Aaron Groen is under fire from the storm chasing community this morning after a photograph of his went viral on Facebook. Groen says the photo shows "the best tornado I've seen," describing how the raw files from the shoot still scare him. However, seasoned photographers and storm chasers alike are claiming that it's "clearly fake."
In big tech's continuing battle against the scourge of so-called "fake news" and manipulated imagery used to trick people online, Google has just added a major update to Google Image search: fact checking.
A Danish photo news agency recently tasked two of its photogs with creating a series that shows how easy it is to lie through photography. By shooting before and after photos of the same scene, they showed how angle and perspective can, consciously or not, manipulate viewers and lead to accusations of fake news.
Australian comedian Lewis Spears is known in his home country for fake stories to news outlets. Last year, Spears traveled to Los Angeles and pretended to be a famous photographer at a popular photo spot. He managed to fool not only aspiring Instagram stars but a national media outlet crew as well.
Following hot on the heels of Instagram's new (and at times controversial) "False Information" warning, Twitter has just announced its own policy around labeling and warning users about photos and videos that have been "deceptively altered" and manipulated.
The Alphabet company Jigsaw—formerly known as Google Ideas—has released a free tool called Assembler that was designed to help journalists identify manipulated imagery, no matter how sophisticated the trickery might be.
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.
In an attempt to fight misinformation spread through photos and video, Instagram is adding a "False Information" warning to the platform. Using a combination of user reporting and automation, suspected content will be sent to independent fact-checkers for review and flagged as "false" if it turns out to be fake.
Earlier this week, the Canadian Green Party was caught in a Photoshop gaff that toes the line between silly and troubling. As reported by the National Post it seems a photograph of the party's leader, Elizabeth May, was Photoshopped to add a green party logo and a reusable straw, putting it more in line with the party's environmental policies.
Facebook has recently taken a position of not removing faked videos, choosing instead to reduce their reach and display them alongside fact-checking information. Now a series of viral deepfake videos of Facebook CEO Mark Zuckerberg and other famous individuals is putting Facebook's policies to the test.
Facebook is making it a priority these days to fight misinformation being spread on its social network, and the company has just announced that it's now fact-checking photos and videos being shared by users.
It is yet again the day of the year on which you can't trust anything you see online. Here's a roundup of some of the April Fools' Day jokes that have emerged in the world of photography in 2017.
These days there's a lot of talk about "fake news" on the Internet, and Facebook recently announced the introduction of fact checkers. Is that a good thing? I feel ambivalent about it, and I'll explain why.
After ABC News aired an interview with President Trump this week, controversy erupted after people began accusing the White House of Photoshopping a photo of Trump to make his hand look bigger than it actually is. It turns out that Photoshopped photo was actually a fake.