The DOI matches its Crossref record; 45 of the 48 references it cites were found in a registry or an index.
Implicit attitudes and the perception of sociolinguistic variation
Abstract
We investigated individual differences in processing the social dimensions of speech, addressing whether the degree of implicit stereotypical attitude towards language variants modulates brain activity during comprehension. Subjects listened to spoken stories, in which sentence-final critical words were manipulated for ing/in ’ variant which was congruent/incongruent with the variants in the preceding discourse and which was typical/atypical of speaker dialect. Subjects participated in an Implicit Association Test as a measure of language attitudes towards ing/in ’ variation and were classified as high or low stereotype. Results showed that listeners with low IAT scores had higher N400-like negativities while processing word variants that violated dialectal expectancies ( ing uttered by a Southern speaker and in ’ spoken by a Californian). Our results provide evidence that the cognitive mechanisms that support language comprehension are sensitive not just to what is said, but also to how it is said, who says it, and who hears it.
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“Linguistic profiling, for instance, can discriminate against speakers of a dialect considered non-standard (Baugh 2000; Loudermilk 2015).”
From Bias and Fairness in Large Language Models: A Survey (2024) · cites this paper as Loudermilk 2015
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Cites
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Language (Technology) is Power: A Critical Survey of “Bias” in NLP
Blodgett, S. L., Barocas, S., Daumé III, H., & Wallach, H. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · doi:10.18653/v1/2020.acl-main.485 · Cited by 1,050
“Sociolinguists and linguistic anthropologists have also examined language attitudes and language ideologies, or people’s metalinguistic beliefs about language: Which language varieties or practices are taken as standard, ordinary, or unmarked? Which are considered correct, prestigious, or appropriate for public use, a…”
BackgroundBias and Fairness in Large Language Models: A Survey
Gallegos, I. O., Rossi, R. A., Barrow, J., Tanjim, M. M., Kim, S., Dernoncourt, F., Yu, T., Zhang, R., & Ahmed, N. K. (2024) · Computational Linguistics · doi:10.1162/coli_a_00524 · Cited by 1,245
Rosseel, L., Speelman, D., & Geeraerts, D. (2018) · Journal of Linguistic Geography · doi:10.1017/jlg.2018.3 · Cited by 66
Chen, S., Wei, L., & Young, R. (2020) · Language Teaching Research · doi:10.1177/1362168820903010 · Cited by 60
Implicitness and experimental methods in language variation research
Rosseel, L., & Grondelaers, S. (2019) · Linguistics Vanguard · doi:10.1515/lingvan-2018-0005 · Cited by 41
Metadata
- Authors
- Loudermilk, B. C.
- Affiliations
- University of California, Davis (US)
- Corresponding author
- Loudermilk, Brandon C.
- Venue
- IMPACT: Studies in Language, Culture and Society
- Publisher
- John Benjamins Publishing Company
- Published
- 2015-11-26
- Pages
- 137-156
- ISSN
- 1385-7908 (ISSN-L)
- OpenAlex
- W2503104164
- Cited by
- 19
- References
- 48
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 2 · 2021: 2 · 2020: 4 · 2019: 2 · 2018: 4 · 2016: 1
- FWCI
- 5.77
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Impact (publishedVersion)
- Topics
- Social Sciences › Linguistics and Language › Linguistic Variation and Morphology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Keywords
- sociolinguistic variation, dialect perception, implicit stereotypes, spoken word comprehension, individual differences
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