AI & Misinformation
Deepfakes, AI-generated propaganda, synthetic media in elections, voice cloning scams, and the eroding ability to distinguish real from generated — the information integrity crisis accelerated by generative AI.
When the AI Accusation Becomes the Misinformation
Artist communities are now generating the AI misinformation they claim to fight — accusing human creators whose work looks synthetic, then retracting.
- ·Communities trained to detect AI content are now generating false accusations that damage human artists — the detection reflex has become its own misinformation channel.
- ·The retraction cycle for AI accusations mirrors the spread cycle for misinformation: fast spread, slow correction, permanent damage to reputation.
- ·Institutional AI literacy programs address synthetic content but not the social dynamics that have made accusation itself a low-cost, high-impact weapon.
Taylor Swift's Trademark Filing and the Industrialized Deepfake Problem
Swift's trademark applications create a legal framework for retroactive enforcement against AI deepfakes, but the scam infrastructure they target already operates faster than any court.
Deepfake Fraud Is Scaling Faster Than Public Fear of It
Deepfake fraud has crossed from novelty to operational infrastructure, and the institutions meant to stop it have already lost the initiative.
A Deepfake CEO Stole $50 Million. Nobody Seemed Surprised.
The $50M deepfake fraud circulates not as a warning but as a case study — the audience processed the alarm and moved on to logistics.
When the Oval Office Becomes an AI Slop Factory
Trump's Truth Social feed — 16 AI posts in 90 minutes — converts the misinformation beat from an abstract policy problem into a live accountability failure.