Open-weight multilingual NLP can scale political network analysis beyond manual coding, extracting signed relationships from news at scale while remaining reproducible and avoiding proprietary APIs.
This paper presents an open-source pipeline for automatically extracting political relationships from multilingual news articles. It combines named-entity recognition, entity linking to Wikidata, and a specialized model to build knowledge graphs of political networks—showing it can reconstruct party lifecycles and uncover patronage networks in Austria and Poland.