Topic: fake news

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From Generation to Detection: Exploration of Discourse Driven Scenario based LLM Generated Fake News

Researchers explored how large language models (LLMs) generate and detect fake news through controlled experiments involving four scenarios: open-ended generation, rewriting, manipulation prompts, and attribute-based prompts. This study highlights the challenges and potential of LLMs in managing misinformation across different discourse contexts.

arxiv.org

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