Human Languages with Greater Information Density Increase Communication Speed, but Decrease Conversation Breadth
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Abstract (arXiv)
Human languages vary widely in how they encode information within circumscribed semantic domains (e.g., time, space, color, 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 their 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 toward (1) faster communication, but (2) conceptually narrower conversations within which topics of conversation 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 behavior across levels of society.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 11 of its 114 references that are in the map. First posted on arXiv 15 Dec 2021.
Builds on
11 of 114 references.
References · 11
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Citing papers per year: 2022: 2; 2023: 0; 2024: 1; 2025: 2.
5 papers.
- 2024Statistical Uncertainty in Word Embeddings: GloVe-Vcited by 4
- 2022Word Embedding for Social Sciences: An Interdisciplinary Surveycited by 3
- 2025Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zonecited by 1
- 2025Tripartite-GraphRAG via Plugin Ontologiescited by 1
- 2022Characterizing Human Actions in the Digital Platform by Temporal Contextcited by 0
- 2025Tripartite-GraphRAG via Plugin Ontologies28 Apr 2025
- 2025Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone6 Apr 2025
- 2024Statistical Uncertainty in Word Embeddings: GloVe-V18 Jun 2024
- 2022Word Embedding for Social Sciences: An Interdisciplinary Survey7 Jul 2022
- 2022Characterizing Human Actions in the Digital Platform by Temporal Context20 Jun 2022