Wikipedia and <scp>AI</scp> for Mapping Cultural Diaspora

ABSTRACT This project explores how publicly sourced digital platforms, combined with generative AI, can support the study of cultural diaspora in the performing arts. Using ballet as a case study, we extracted data from 518 English Wikipedia entries and applied GPT‐based models to structure information on premiere dates, locations, and creative contributors. We identify culturally significant locations and construct a bipartite network linking artists to ballet premiere cities, offering a framework to trace transnational creative flows that contribute to cultural diaspora. Our findings show that integrating human‐curated data with AI‐assisted structuring provides a valuable entry point for data‐driven analysis of cultural mobility in understudied domains. This work contributes to growing efforts to bridge computational methods and the humanities through accessible and reproducible approaches.