fake news

2 items

RESEARCHarXiv CS.CL·5d ago

Cross-Prompt Generalization in Detecting AI-Generated Fake News Using Interpretable Linguistic Features

This study investigates cross-prompt generalization in detecting AI-generated fake news using interpretable linguistic features like lexical diversity and readability. A random forest classifier achieved consistently high performance (AUC 0.988-1.000) across various train-test combinations, demonstrating robustness against different prompting strategies.

Generalization AI detection fake news large language models

RESEARCHarXiv CS.CL·4/14/2026

Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning

This study explores linguistic, structural, and emotional differences between AI-generated and human-written fake news. It evaluates machine learning and ensemble-based methods to distinguish these content types, using a detailed feature representation.

ensemble learning fake news large language models misinformation