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This paper presents an LLM-based pipeline for analyzing media bias and framing in online news, tested on Albanian articles with moderate agreement in annotations compared to automated methods.
This paper analyzes 28,592 French news headlines about La France insoumise and Rassemblement National using an LLM annotation pipeline, finding asymmetric role framing where LFI is more often framed as aggressors and RN as strategic actors.
This paper compares top-down and bottom-up approaches for collecting text-based data about disasters from news articles, using German news about landslides as a case study.