Human murmuration: Group polarisation as compression in interaction-language dynamics captured by large language models

New technologies enable a social psychology that sees individuals and society as co-constitutive elements of a complex system. Using the metaphor of a murmuration—a loosely organized, locally responsive flock—this paper proposes a “science of movement” focused on trajectories of individual activity within evolving social interactions and language. We illustrate human murmuration by reviewing research on group polarization, showing how conversational joint action shapes opinion and identity. Language evolves in this process, becoming a tool for differentiation through strategic bias articulation. Polarization is understood as compression in the social information system—the medium of human murmuration. We explore how compression, bias and identity appear in large language models, reflecting the dynamic process of human thinking and activity. The paper concludes with a manifesto for social psychology, outlining directions for research that can leverage emerging methods to realize the discipline’s potential in the age of complex systems and computational tools.