A comparative media-bias pipeline on 37 news outlets using hierarchical topics, sentiment, entities, and LLM ontologies was tested, with clear signals from titles and entities but failures in body sentiment and larger ontology comparisons.
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Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
A comparative media-bias pipeline on 37 news outlets using hierarchical topics, sentiment, entities, and LLM ontologies was tested, with clear signals from titles and entities but failures in body sentiment and larger ontology comparisons.