Pseudo History and Digital History - The Dangerous Art of Text Mining

Explore the intersection of text mining and historical analysis in this thought-provoking lecture by Professor Jo Guldi. Delve into the potential pitfalls of applying quantitative methods to historical texts without proper contextual understanding. Examine case studies that highlight the importance of "hybrid knowledge" in bridging the gap between data science and humanistic study. Learn about the application of historical methods to algorithmic analysis and how it can enhance the interpretation of archival materials. Gain insights into the works of philosophers of history such as Koselleck, Erle, Assman, Tanaka, and Chakrabarty, and understand how their frameworks can be integrated with modern data analysis techniques. Discover the challenges and opportunities that arise when navigating the vast sea of textual information in the digital age.