Researchers show how to extract meaning from degraded historical newspapers using AI

Computer scientists have developed a method to automatically analyze centuries-old newspapers that are often damaged or poorly scanned by using large language models trained to understand the specific language and context of historical texts. This makes it possible to study how political ideas and national identity shifted over time without manually reading thousands of pages — a task that would be impossibly expensive and slow to do by hand.

This demonstrates a practical threshold where AI tools can now handle the messiness of real historical documents rather than clean, modern text — which opens a path for scholars to study how societies actually understood themselves at specific moments, rather than relying on whatever fragments historians happened to preserve or emphasize.