Filip Ginter

Large Language Models for Risk Detection in E-commerce: Reliability, Semantic Alignment, and Managerial Insights

This study presents a novel, manually annotated dataset of 121 business news articles related to five major steel companies, using the Cambridge Risk Taxonomy, and provides empirical evidence on the opportunities and limitations of LLMs for both analytical and narrative forms of automated risk assessment.