Human languages with greater information density have higher communication speed but lower conversation breadth

Pedro Aceves () and James A. Evans
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Pedro Aceves: Johns Hopkins University
James A. Evans: University of Chicago

Nature Human Behaviour, 2024, vol. 8, issue 4, 644-656

Abstract: Abstract Human languages vary widely in how they encode information within circumscribed semantic domains (for example, time, space, colour, human body parts and activities), but little is known about the global structure of semantic information and nothing about its relation to human communication. We first show that across a sample of ~1,000 languages, there is broad variation in how densely languages encode information into words. Second, we show that this language information density is associated with a denser configuration of semantic information. Finally, we trace the relationship between language information density and patterns of communication, showing that informationally denser languages tend towards faster communication but conceptually narrower conversations or expositions within which topics are discussed at greater depth. These results highlight an important source of variation across the human communicative channel, revealing that the structure of language shapes the nature and texture of human engagement, with consequences for human behaviour across levels of society.

Date: 2024
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DOI: 10.1038/s41562-024-01815-w

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