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Demographic Biases in Naturalistic Language Recordings in the CHILDES Database
Camila Scaff1,2, Georgia Loukatou3, Alejandrina Cristia1
1Laboratoire de Sciences Cognitives et de Psycholinguistique, Département d'études Cognitives, ENS, EHESS, CNRS, PSL University, Paris, France.
Developmental Science
|March 26, 2025
Summary
The CHILDES database, a key resource for child language research, shows demographic biases. Recordings overrepresent wealthier nations, urban settings, and nuclear families, potentially skewing findings on child language acquisition.
Area of Science:
- Linguistics
- Developmental Psychology
- Sociolinguistics
Background:
- The CHILDES database is a primary source for naturalistic child language data.
- Understanding demographic representation in research data is crucial for valid conclusions.
- Previous assessments of CHILDES's demographic scope are limited.
Purpose of the Study:
- To systematically review the CHILDES database for demographic biases.
- To analyze representation across socioeconomic status (SES), urbanization, family structure, and language.
- To assess the generalizability of findings from CHILDES data.
Main Methods:
- Systematic review of the CHILDES database.
- Analysis of recordings based on SES, urbanization, family structure, and language.
- Descriptive statistics to compare database demographics with national/global data.
Main Results:
- CHILDES overrepresents wealthier countries, higher parental education, and urban settings.
- Middle- and higher-SES participants and nuclear families are overrepresented.
- Bilingual and multilingual households appear to be underrepresented in the corpora.
Conclusions:
- Researchers must exercise caution when generalizing findings from CHILDES data.
- The database exhibits significant demographic biases that limit broad applicability.
- Recommendations are provided for the future use and potential improvement of CHILDES.
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