AI RESEARCH
Cross-Prompt Generalization in Detecting AI-Generated Fake News Using Interpretable Linguistic Features
arXiv CS.LG
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ArXi:2606.04199v1 Announce Type: cross The increasing use of large language models has raised concerns about the spread of AI-generated fake news, particularly under varying prompting strategies. Most existing detection models are trained and evaluated under a single generation setting, leaving their ability to generalize across unseen prompts unclear. In this study, we investigate cross-prompt generalization in fake news detection using three datasets of AI-generated articles produced under distinct prompts, combined with real news articles.