Deepfakes
Published November 12, 2026
Deepfakes started as a November 2017 Reddit community where one user swapped celebrities' faces onto porn performers using open-source machine-learning code. Vice/Motherboard broke the story in December 2017, and within three months the technique drove a Reddit site-wide rule change on faked involuntary pornography. By April 2018, BuzzFeed and Jordan Peele used the same method for a fake Obama PSA warning viewers about AI-era misinformation.
Overview
The Deepfakes technique trains a machine-learning model on photos of a target person, then swaps that trained face onto existing video footage frame by frame1. The original Redditor said his pipeline relied on the open-source libraries TensorFlow and Keras, fed with publicly available celebrity images and clips3. Results were uneven in those first months, with tracking that slipped during fast head turns and a soft uncanny-valley look in close-up, though a quick glance could read as real1.
Most of the edits posted to /r/deepfakes placed actors like Scarlett Johansson, Maisie Williams, Taylor Swift, Aubrey Plaza and Gal Gadot onto porn performers' bodies1. A smaller current ran alongside the pornographic work, best known for dropping Nicolas Cage into movies he had nothing to do with6. That split shaped the fallout later, when Reddit's February 2018 purge wiped the main subreddit but left the SFW Cage-edit community and the FakeApp forum online5.
Gallery
Origin & Background
How It Spread
Timeline
Frequently Asked Questions
References (8)
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