At the center of this perfect storm sits a surprisingly reluctant icon: . While the MCU star is best known as the Scarlet Witch, she has recently become the unwitting face of a terrifying technological frontier. This is the story of how Deepfakes turned one actress into a digital hostage and why "Fan-Topia" might be the most dangerous place on earth.
She turned her gaze directly toward you, and you felt as if she were looking into the core of your own identity, the way a fan sees themselves reflected in a beloved character.
To understand the threat, you must understand the process. The Mondomonger uses a process called synthesis.
, a platform that has faced significant scrutiny for hosting explicit AI-generated content of high-profile figures like Elizabeth Olsen What is Fan-Topia? Fan-Topia.Mondomonger.Deepfakes.Elizabeth.Olsen...
Deepfake technology overwhelmingly targets women and girls. An investigation by NBC News found that deepfake videos are "overwhelmingly" used to create nonconsensual sexually explicit material featuring female celebrities and non-celebrities alike. This technology allows bad actors to "face-swap" a victim's face onto the body of a pornographic performer, creating a synthetic video that is nearly indistinguishable from reality.
Elizabeth Olsen, the acclaimed actress known for her role as Wanda Maximoff in the Marvel Cinematic Universe, has not been immune to this phenomenon. While she has faced amusingly harmless deepfakes, like the Game of Thrones transformation, she has also been a central figure in a more serious and telling piece of synthetic media: a “deepfake challenge” video. This side-by-side clip, featuring Olsen and her Marvel co-star Scarlett Johansson, challenged the internet to determine which actress was real and which was an AI-generated deepfake.
A is the logical endpoint of the Mondomonger’s archive. Using machine learning algorithms trained on hundreds or thousands of source images (precisely the kind of collection a Mondomonger would amass), a user can seamlessly graft one person’s face onto another’s body. In the context of Fan-Topia, this has led to a plague of non-consensual pornographic videos, with Elizabeth Olsen being one of the most frequently targeted actresses. Her portrayal of the powerful yet emotionally vulnerable Wanda Maximoff in the Marvel Cinematic Universe provided a perfect storm: a massive global fanbase, endless high-quality footage from multiple films and a Disney+ series, and a character whose emotional extremes (grief, rage, love) are highly mimetic. At the center of this perfect storm sits
In the heart of Fan‑Topia, every hallway was a shrine: one wing celebrated the golden age of 90s sitcoms, another pulsed with the electric glow of sci‑fi conventions, and a third, more secretive section, was devoted to the enigmatic actress —the woman who had never been on screen but whose likeness haunted every corner of the internet.
: A deepfake is a type of video or audio content that uses artificial intelligence (AI) to create a fake version of someone's likeness or voice. Deepfakes are often used to manipulate videos or audio recordings to make it appear as though someone is saying or doing something they never actually did.
A murmur rippled through the crowd. Some gasped, others clapped. Yet you sensed something else—a tremor of unease. Was Elizabeth truly a synthetic construct, or had Mondomonger succeeded in breathing something akin to consciousness into code? She turned her gaze directly toward you, and
Recognizing the growing crisis, Congress has introduced several bills. The TAKE IT DOWN Act (Tools to Address Known Exploitation by Immobilizing Technological Deepfakes on Websites and Networks Act) was passed in April 2025. It criminalizes the nonconsensual publication of intimate images, including deepfakes, and establishes a federal framework for their removal. The Federal Trade Commission began enforcing Section 3 of this Act in May 2026, targeting platforms that fail to remove such content. Similarly, the proposed NO FAKES Act aims to establish nationwide protections against unauthorized AI-generated deepfakes, with proponents arguing that individuals should own their digital identity. However, critics contend that the bill’s broad language could chill free expression and online speech.
What model architectures work best for AI deepfake generation tasks?