Yet in a platform-driven information environment, flawed, exaggerated or prematurely published research can shape headlines long before corrections reach the public. Retractions often travel slower than the original claim. Generative AI systems reproduce outdated findings. Algorithms amplify engagement rather than accuracy.
This is not simply a matter of individual reporting mistakes. It is a structural challenge. Accelerated news cycles, press-release-driven reporting, economic pressure in newsrooms and platform logics create conditions in which unreliable scientific claims can circulate widely — and persist.
