How the explicit deepfake ecosystem evolved from images to high-quality video; an analysis shows 1.4M+ Telegram accounts signed up to 39 deepfake creation bots
Sexual deepfakes continue to get more sophisticated, capable, easy to access, and perilous for millions of women who are abused with the technology.
Context & Ripple Effects
The harms associated with face-swapped sexual imagery were documented years ago, when deepfakes were already being used to harass and humiliate women. By 2020, researchers had identified a Telegram bot whose outputs had turned more than 100,000 women’s photos into fake nudes and were shared publicly an early Telegram fake-nude operation.
This coverage now traces a shift from those image-based tools to higher-quality video and a much larger bot-mediated user base. That matters because Telegram is not merely a venue for sharing outputs here; it is part of the access layer through which creation tools reach users.
First-order effects
- The 39 identified bots give large numbers of Telegram accounts a low-friction route to create explicit deepfake video, raising the immediate exposure of people whose images can be repurposed without consent.
- Victims face more credible and potentially more damaging impersonation as the ecosystem moves beyond the image manipulation documented in earlier photo-to-fake-nude bots to video.
Second-order effects
- Telegram faces greater pressure to address bot discovery, distribution, and enforcement, since its platform functions as a key access point for the reported tools.
- The move to higher-quality video increases the burden on platforms and affected individuals to distinguish authentic media from abuse, while image-focused moderation approaches become less adequate.
Third-order effects
- If bot-based distribution remains durable, explicit deepfake abuse may become an operational content-safety problem centered on access channels and repeatable service workflows, not just isolated uploads.
- The pattern points toward a broader need for a synthetic-media control plane spanning creation, distribution, and response; the corpus does not establish which platforms or rules will supply it.
The trend: Generative abuse is shifting from specialized image manipulation toward widely accessible, higher-fidelity video services distributed through messaging-platform bots.