36.3540, Calls: Working Papers in Linguistics - "Special Issue: AI in Sociolinguistic Research" (Jrnl)

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LINGUIST List: Vol-36-3540. Thu Nov 20 2025. ISSN: 1069 - 4875.

Subject: 36.3540, Calls: Working Papers in Linguistics - "Special Issue: AI in Sociolinguistic Research" (Jrnl)

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Date: 18-Nov-2025
From: Raquel Freitag [rkofreitag at academico.ufs.br]
Subject: Working Papers in Linguistics - "Special Issue: AI in Sociolinguistic Research" (Jrnl)


Journal: Working Papers in Linguistics
Issue: AI in Sociolinguistic Research
Call Deadline: 31-Jan-2026

The recent advancement of artificial intelligence (AI), especially
large language models (LLMs), has affected society as a whole,
including the scientific field. This volume of Working Papers in
Linguistics is dedicated to studies that aim to reflect on the two-way
relationship between AI and sociolinguistics: on the one hand, the use
of automated tools in research practice—such as interview
transcription, linguistic annotation, variant classification, and
large-scale data analysis; and on the other, the application of
sociolinguistic theory to the design and evaluation of AI systems,
contributing to more inclusive, accurate, and ethical outputs.
The use of automatic speech recognition systems and natural language
processing algorithms to streamline work with spoken and written
corpora brings greater agility to the stages of sample construction
and data preparation, allowing researchers to devote more attention to
the analytical refinement of sociolinguistic results. However, these
same systems often reproduce biases related to gender, race, class,
region, and other social markers, as they are trained on homogeneous
or biased datasets that exclude non-hegemonic linguistic varieties.
Analyses involving data curation, the creation of more diverse
linguistic samples for LLMs, and the development of evaluation metrics
that recognize variation as a legitimate linguistic phenomenon are
promising avenues to be explored through a sociolinguistic lens.
Sharing studies that report experiences with AI tools in the
collection and analysis of sociolinguistic data, as well as research
that addresses the sociolinguistic impacts of AI, is essential at this
moment for reflecting on how the accumulated knowledge of
sociolinguistics—attention to variation, heterogeneity, and language
use in context—can contribute to the technical and ethical improvement
of AI technologies, promoting the development of systems that are more
sensitive to linguistic and social diversity.
We invite submissions that address, among other topics:
- the use of AI tools in sociolinguistic research workflows (e.g.,
transcription, linguistic annotation, variant classification,
large-scale corpus analysis);
- sociolinguistic impacts and biases reproduced by AI systems;
- data curation practices, diverse linguistic sampling for LLMs, and
evaluation metrics that recognize variation as a core property of
language;
- experiences with AI tools in the collection and analysis of
sociolinguistic data;
- reflections on how sociolinguistic knowledge can contribute to more
inclusive, accurate, and ethical AI technologies.
Submissions in English, Portuguese, and Spanish are welcome.
Deadline: January 31, 2026
Further information:
https://periodicos.ufsc.br/index.php/workingpapers/announcement/view/2113

Linguistic Field(s): Computational Linguistics
                     Sociolinguistics

Subject Language(s): English (eng)
                     Portuguese (por)
                     Spanish (spa)




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