(ThePatriotWire)- According to NBC News, a recent Facebook ad featured a lady who looked an awful lot like Emma Watson leaning down in front of the camera and seemingly initiating a lurid act.
But the lady wasn’t the Harry Potter actress. The video was actually advertising for a deep fake program that lets users superimpose any face onto any footage. Simulated pornography featuring famous people is commonly used for the Deepfake program.
During the last several days, hundreds of raunchy deep fake app advertisements starring Emma Watson and Scarlett Johansson have been posted on Facebook and Instagram.
More than two hundred and thirty ads were released across Facebook, Instagram, and Messenger throughout the course of the campaign’s Sunday and Monday run, according to the source.
They were not explicit but rather were designed to seem like the opening of a porn film, complete with Pornhub’s theme song playing in the background.
A total of 127 advertisements featured Watson, and another 74 had Johansson.
Eighty percent of the ads used the slogan “replace face with anybody” in the caption. Experience the fun of artificial intelligence’s face-swapping technology.
Users may choose from various pre-made video templates that include actors dancing and posing in skimpy outfits, as shown in this app review. Upload a picture of any face and instantly get a video with the face changed.
Ufoto Ltd, whose parent company Wondershare is based in China, is identified as the app’s creator on the App Store, and the weekly subscription fee is $8.
The advertising campaign on Facebook-owned platforms (now known as Meta) illustrates how easy it is for the typical customer to get digital face-swapping “deepfake” technologies.
Recently, Hollywood icon Keanu Reeves expressed concern about deepfake computer face changes, going so far as to say that his film contracts strictly prohibit the use of digital edits to his performance. Actors may include a prohibition on deepfakes in their contracts, but there seems to be no way to prevent individuals from exchanging their likeness with another in popular Chinese applications.
