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Jožef Stefan Institute, Institute of Contemporary History, University of Ljubljana
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Negative sentiment in parliamentary speech not only alters pitch and intensity but also reveals surprising cross-linguistic gender dynamics in filled pauses.
Gender effects in filled pause usage defy expectations, revealing language-specific trends that challenge existing literature.
LLMs can bootstrap high-quality, domain-specific policy classifiers from multilingual parliamentary data, rivaling human annotation at a fraction of the cost.
