Study Uncovers 18,000 Paper-Mill Ads Selling Authorship for $800 Median
Updated
Updated · The Guardian · Aug 16
Study Uncovers 18,000 Paper-Mill Ads Selling Authorship for $800 Median
1 articles · Updated · The Guardian · Aug 16
Summary
More than 18,000 advertisements from seven paper mills in seven countries were documented between 2020 and 2026 in what Reese Richardson calls the largest dataset yet on the trade.
The ads show how paper mills exploit publish-or-perish pressure, offering journal authorship for a median $800 and, in some cases, for as little as $30 through Telegram, WhatsApp, Facebook and websites.
Richardson says the trade has been doubling about every 18 months, feeding falsified research into journals; Wiley-owned Hindawi alone retracted more than 8,000 articles in 2023 and another 3,000 by end-2024.
The study also identified 12 ads for Australian design registrations marketed to Indian academics, with paper mills charging $95 to $150 per listed owner for registrations that cost $200 to file.
IP Australia said it had no data showing widespread misuse of the design system but would consider the paper's findings, underscoring how the fraud appears to be spreading beyond journal publishing.
How can global intellectual property systems stop fraudulent paper mills from turning fake design registrations into real academic credentials?
If academic survival relies on publishing, will the lucrative paper mill industry eventually outpace legitimate scientific discovery?
With paper mill outputs doubling every eighteen months, is the traditional scientific peer review system fundamentally broken beyond repair?
The 2026 Paper Mill Explosion: How Over 18,000 Fake Authorships Are Polluting Global Science
Overview
A landmark 2026 study revealed a vast global black market where academic authorship is bought and sold through organized paper mills. Driven by intense 'publish-or-perish' pressures, researchers purchase fraudulent authorship slots, fueling an industry that mass-produces fake manuscripts using fabricated data and manipulated images. This industrialized fraud has severely polluted scientific literature, especially in critical fields like oncology, leading to massive waves of retractions and prompting new ethical guidelines. As generative AI makes fraud even easier, publishers are fighting back with advanced detection tools and collaborative networks, while some countries are introducing strict regulations to restore research integrity.