Prompt-Induced Linguistic Fingerprints for LLM-Generated Fake News Detection

ArXi:2508.12632v2 Announce Type: replace With the rapid development of large language models, the generation of fake news has become increasingly effortless, posing a growing societal threat and underscoring the urgent need for reliable detection methods. Early efforts to identify LLM-generated fake news have predominantly focused on the textual content itself; however, because much of that content may appear coherent and factually consistent, the subtle traces of falsification are often difficult to uncover.