Imagine a patient scrolling through social media late at night, stumbling upon a video claiming that a common household remedy can cure a serious illness. The video has thousands of likes and shares, and it feels convincing. The next morning, that patient asks a nurse, “Is this true? Should I try it?” This scene is playing out in hospitals and clinics every day. False health claims travel across social media far faster than any correction, and the nurses who stand at the front line of patient care are increasingly being asked to sort fact from fiction in real time. A…

In a world where a fabricated headline can circle the globe before the truth has laced up its shoes, the dream of an automated lie detector has never felt more urgent. Fake news spreads faster than corrections, and the machines we increasingly trust to catch it may not be the machines we think they are. A new benchmarking study by Abdullah Talha Kabakus of Duzce University, published in Neural Computing and Applications, delivers a sobering verdict for the era of giant language models: when it comes to detecting fabricated news without any task-specific training, big and clever is not better.…