This episode explores the AI-Press system, a framework for automated news generation and public feedback simulation using multi-agent collaboration and Retrieval-Augmented Generation (RAG). It tackles challenges in journalism, such as professionalism, ethical judgment, and predicting public reaction.The AI-Press system improves news quality across metrics like comprehensiveness and objectivity, as shown in evaluations using 300 press releases. It also includes a simulation module that predicts public feedback based on demographic distributions, producing sentiment and stance reactions consistent with real-world populations.Overall, AI-Press enhances news production efficiency while addressing ethical concerns in AI-powered journalism.https://arxiv.org/pdf/2410.07561

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