// media literacy

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Deepfakes Are a Distribution Problem, Not a Technology One

The threat is not deepfake creation—it's the frictionless platforms that amplify them at scale. As generative tools become commodified and harder to regulate, the meaningful leverage point shifts to networks: which platforms tolerate synthetic abuse imagery, which remove it, and whose algorithmic incentives accidentally accelerate harmful spread. Regulation and prevention become a distribution architecture problem that looks more like content moderation than a technical arms race around watermarking and detection.

How AI Slop Becomes Political Currency

Trump's casual deployment of obviously fake AI images on Truth Social shows that visual credibility no longer gatekeeps political messaging. His audience accepts low-fidelity synthetic content as legitimate communication rather than disqualifying evidence of dishonesty. Authenticity has become optional. The distinction between satire and sincerity that once anchored political discourse has collapsed. Voters in his base can tell the difference between real and fake images. They've simply stopped treating that difference as relevant to their consumption choices.