Language Analysis and the Chronospatial Revolution In Psychology

Psychology has traditionally been an ahistorical science, yet the field is undergoing a theoretical and methodological shift toward integrating historical processes into psychological inquiry. Here, we map this chronospatial revolution, which takes seriously how psychological patterns differ across centuries and regions. Historical psychology is facilitated by large-scale historical datasets, including digitized texts from books, records, newspapers, and social media. Contemporary language modeling methods allow researchers to quantify psychological constructs as complex as personality traits, moral values, and emotions.  As a demonstration, we use time-varying network analysis to examine how the nomological network of personality traits expressed in American cultural products has shifted over the last two centuries. We found a stable core of correlations between openness, conscientiousness, and extraversion facets, but a more variable periphery of honesty-humility and agreeableness facets. This pattern shows how language-based network approaches can reveal both enduring relations and historically variable links.  More broadly, modern computational language methods offer psychologists a powerful way to study “dead minds” at scale, generating estimates of psychological constructs from historical corpora. This family of methods enables psychologists to distinguish transient historical fluctuations from deep-seated regularities and identify how past institutions, norms, and shocks shape present-day behavior.  A chronospatially enriched psychology does more than push our datasets further back in time: this perspective helps us understand how present-day psychological differences between populations develop in relation to historical forces.