AI models reveal hidden patterns in how critics write about literature

Swedish researchers used machine learning to analyze literary criticism at scale, moving beyond simple word counts to uncover deeper structural patterns in how scholars evaluate texts. The work suggests data-driven methods could transform humanities research—and has implications for anyone building AI systems to understand or generate critical analysis.

Originaltitel: Från Ordfrekvenser Till Generativa Modeller: Metodologisk reflektion kring datadrivna analyser av litteraturkritik