The Journal of Cultural Analytics was founded a decade ago to advance original arguments about studying culture at scale. In this special issue, we intend to take stock of our progress in this endeavor as well as to open up new perspectives for future research. What have we learned from exploring the relationship between the forest and the trees using computational approaches? To what degree have these insights emerged from evolving theoretical or methodological frameworks in the humanities? To what extent should developments in computer science, especially the rise of transformer-based machine learning, inflect research in the humanities? Looking ahead, what changing paradigms might define the next ten years of cultural analytics?
