Autistic Traits, Communicative Efficiency, and Social Biases Shape Language Learning in Autistic and Allistic Learners

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Fletcher, L., Rabagliati, H., & Culbertson, J. (2024). Autistic Traits, Communicative Efficiency, and Social Biases Shape Language Learning in Autistic and Allistic Learners. Cognitive Science, 48(11), Article e70007. https://doi.org/10.1111/cogs.70007

Publication date: 28 Oct 2024 Added to AutiHub: 29 Oct 2026 Type: Article Article language: English
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Authors

Publication authors
3
Publication authors identified as autistic
1 / 3 (33.3%)
  1. Lauren Fletcher *
  2. Hugh Rabagliati
  3. Jennifer Culbertson

Abstract

Abstract There is ample evidence that individual‐level cognitive mechanisms active during language learning and use can contribute to the evolution of language. For example, experimental work suggests that learners will reduce case marking in a language where grammatical roles are reliably indicated by fixed word order, a correlation found robustly in the languages of the world. However, such research often assumes homogeneity among language learners and users, or at least does not dig into individual differences in behavior. Yet, it is increasingly clear that language users vary in a large number of ways: in culture, in demographics, and—critically for present purposes—in terms of cognitive diversity. Here, we explore how neurodiversity impacts behavior in an experimental task similar to the one summarized above, and how this behavior interacts with social pressures. We find both similarities and differences between autistic and nonautistic English‐speaking individuals, suggesting that neurodiversity can impact language change in the lab. This, in turn, highlights the potential for future research on the role of neurodivergent populations in language evolution more generally.

Bibliography cited by this reference

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 29 Oct 2026 17:24.

Cited references
93
With a DOI
82
Without a DOI, from raw bibliography text
8
18 / 93 (19.4%) cited references include at least one author identified as autistic.
References with data to complete
6 / 93 (6.5%)
References with detected author names
87 / 93 (93.5%)
Without detected author names
6
Without a structured title
6
Without a stable identifier
8
References with raw author names still to review
4
References with external metadata lookup issues
2
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
353
From DOI or external metadata
353
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
4
192 / 353 (54.4%) names are linked to an author already present in AutiHub. 161 / 353 (45.6%) names are not yet linked.
Names linked to a person identified as autistic
44 / 353 (12.5%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 44 / 192 (22.9%). Distinct people identified as autistic: 31 / 279 (11.1%).
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