Evidence map›Paper›PMID 38150495›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

How cognitive selection affects language change.

Ying Li, Fritz Breithaupt, Thomas Hills, Ziyong Lin, Yanyan Chen, Cynthia S Q Siew, Ralph Hertwig

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ying LiKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.ORCID 0000-0003-0678-9535
Fritz BreithauptDepartment of Germanic Studies, Indiana University, Bloomington, IN 001809.ORCID 0000-0001-8949-2598
Thomas HillsDepartment of Psychology, University of Warwick, Coventry CV4 7AL, United Kingdom.ORCID 0000-0003-3842-2076
Ziyong LinCenter for Life Span Psychology, Max Planck Institute for Human Development, Berlin 14195, Germany.ORCID 0000-0003-4607-8172
Yanyan ChenKey Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Cynthia S Q SiewDepartment of Psychology, National University of Singapore, Singapore 119077, Singapore.
Ralph HertwigCenter for Adaptive Rationality, Max Planck Institute for Human Development, Berlin 14195, Germany.ORCID 0000-0002-9908-9556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

LanguagePsycholinguisticsArousalCognitionEmotionsHumansage of acquisitioncorpus analysislanguage evolutionpsycholinguisticsserial reproduction

Identifiers

PMID38150495
PMCPMC10769849

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.