Why call it a “monster”? Because deepfakes are evolving faster than laws can keep up. The term “deepfake monster” has been used by cybersecurity experts to describe the uncontrollable spread of synthetic media. Unlike traditional photoshop, deepfakes require minimal skill today—apps and websites allow anyone to create convincing fakes in minutes. For celebrities like Gillan, this means a permanent loss of control over their own image.
Responsible fandom means respecting boundaries. Creating a deepfake of Karen Gillan—even as a “harmless” joke or tribute—contributes to a culture of non-consent. Instead, fans can: fantopiamondomongerdeepfakeskarengillanas
Deepfakes use deep learning algorithms, particularly generative adversarial networks (GANs), to replace or synthesize faces, voices, and mannerisms. While the technology has legitimate uses in film dubbing, historical reenactments, and art, its dark side includes non-consensual pornography, disinformation, and identity theft. The term “deepfake” itself emerged online around 2017 and has since become a global concern for policymakers. Why call it a “monster”
This is the real virus. Skarengillanas appears to be a hybrid of "Scare," "Karen," and "Gillan." Creating a deepfake of Karen Gillan—even as a
In practice: Bad actors use deepfake software to insert Gillan’s likeness into fake "Karen" meltdown videos. The result is a digital doppelgänger—an actress who never screamed at a waiter, never hit a cyclist with her handbag, but the AI says she did.
Why do this? The Omongers (the creators) get a sick thrill from watching the Fantopi (the clean digital space) collapse. They argue, "It’s not real, it’s a deepfake," but the damage is done. The image sticks.