Multiparty conversation predominates in children's language environments across diverse cultural settings

Little is known about the dynamics of children’s conversations outside of urban Western contexts, where research focuses on one-on-one interactions with parents. Our study addresses this gap, aggregating naturalistic speech data gathered in 10 countries across multiple labs, and using novel speech diarization algorithms to extract and classify different types of conversation. We analyzed 23,000 hours of child-centered audio recordings taken from 844 children (mean age 23 months; 389 girls) across urban, agricultural, and foraging societies. We found that multiparty conversations, involving at least three speakers, are more frequent than any other type of conversation. Across settings, children’s relative exposure to conversation differed based on their age, number of siblings, and mother’s education. We conclude that the kinds of conversation most often studied differ from those children typically encounter. Greater focus on children’s conversations in multiparty contexts may provide a more representative picture of their daily experience with language.

Authors

Institutions

Publication Details

Journal
PsyArXiv (OSF Preprints)
Published
2026-11-06
DOI
https://doi.org/10.31234/osf.io/jc6rp
Primary Topic
Language Development and Disorders
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Multiparty conversation predominates in children's language environments across diverse cultural settings

Mark VanDam, Naomi Havron, Joseph Coffey, Margaret Cychosz et al.
1 links
PsyArXiv (OSF Preprints)
Language Development and Disorders
preprint

Multiparty conversation predominates in children's language environments across diverse cultural settings

Mark VanDam, Naomi Havron, Joseph Coffey, Margaret Cychosz, Agata Kozioł, Camila Scaff, Anne S. Warlaumont, Alejandrina Cristia, Tehila Natovich
preprint en

Abstract

Little is known about the dynamics of children’s conversations outside of urban Western contexts, where research focuses on one-on-one interactions with parents. Our study addresses this gap, aggregating naturalistic speech data gathered in 10 countries across multiple labs, and using novel speech diarization algorithms to extract and classify different types of conversation. We analyzed 23,000 hours of child-centered audio recordings taken from 844 children (mean age 23 months; 389 girls) across urban, agricultural, and foraging societies. We found that multiparty conversations, involving at least three speakers, are more frequent than any other type of conversation. Across settings, children’s relative exposure to conversation differed based on their age, number of siblings, and mother’s education. We conclude that the kinds of conversation most often studied differ from those children typically encounter. Greater focus on children’s conversations in multiparty contexts may provide a more representative picture of their daily experience with language.

PsyArXiv (OSF Preprints)
Harvard University (US)
Language Development and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Multiparty conversation predominates in children's language environments across diverse cultural settings — Mark VanDam, Naomi Havron, et al. · PsyArXiv (OSF Preprints) (2026) | TGRS Research Map | TGRS