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

The study compared human-written and AI-generated fake news using stylistic and structural features to see if they could be reliably distinguished. Researchers used multiple machine learning models, including an ensemble approach, to classify the content. Findings showed that readability metrics were the most important factors for telling the two types of misinformation apart.

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