ArticleProceedings of the National Academy of Sciences of the United States of America2024
How cognitive selection affects language change.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Concrete language enhances sharing of social media posts on Twitter, Reddit, and experimentally.Quarterly journal of experimental psychology (2006) · 2026Article
- Semantic memory network resilience in aging: The role of abstract and semantically diverse words.Cognition · 2026Article
- Investigating the Effects of Valence, Arousal, Concreteness, and Humor on Words Unique to Singapore English.Journal of cognition · 2025Article
- The rising entropy of English in the attention economy.Communications psychology · 2024Article
- Metaphorical discourse in Beijing Winter Olympic news: a Trinocular Perspective analysis of language, cognition, and social functions.Frontiers in psychology · 2024Article
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Authors and funding
7 authors.
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Abstract
Like biological species, words in language must compete to survive. Previously, it has been shown that language changes in response to cognitive constraints and over time becomes more learnable. Here, we use two complementary research paradigms to demonstrate how the survival of existing word forms can be predicted by psycholinguistic properties that impact language production. In the first study, we analyzed the survival of words in the context of interpersonal communication. We analyzed data from a large-scale serial-reproduction experiment in which stories were passed down along a transmission chain over multiple participants. The results show that words that are acquired earlier in life, more concrete, more arousing, and more emotional are more likely to survive retellings. We reason that the same trend might scale up to language evolution over multiple generations of natural language users. If that is the case, the same set of psycholinguistic properties should also account for the change of word frequency in natural language corpora over historical time. That is what we found in two large historical-language corpora (Study 2): Early acquisition, concreteness, and high arousal all predict increasing word frequency over the past 200 y. However, the two studies diverge with respect to the impact of word valence and word length, which we take up in the discussion. By bridging micro-level behavioral preferences and macro-level language patterns, our investigation sheds light on the cognitive mechanisms underlying word competition.
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