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This study examines the use of transformer-based language models for multi-label classification of Environmental, Social, and Governance (ESG) topics in media coverage of DAX-listed companies. Using a dataset of approximately 11,500 third-party media texts, thirty ESG topics were assigned to documents through a pipeline combining lemmatised keyword matching and semantic similarity. Four models we
