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Stylistic and linguistic variations in compliments: an empirical analysis of children's gender schema development with machine learning algorithms

Linguistics and Languages

Stylistic and linguistic variations in compliments: an empirical analysis of children's gender schema development with machine learning algorithms

X. Liao and Y. Zhang

This study by Xinyu Liao and Yanhui Zhang investigates how children's gender schemas influence their language styles in compliments. Through oral discourse tasks involving 25 Mandarin-speaking children, the research reveals that girls demonstrate a heightened awareness of gendered language, particularly through their less positive imitated compliments. Discover the intriguing dynamics of gendered communication among pre-adolescents!

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Playback language: English
Abstract
This study examines children's gender schema regarding language styles in compliments using oral discourse completion tasks. Twenty-five Mandarin-speaking children (aged 9-12) provided compliments in normal and imitated (opposite-gender) styles. Machine learning analyzed lexical, discourse-pragmatic, and discourse-semantic features. Results show discourse-pragmatic features are more influenced by gender ideologies than lexical features. Girls' imitated compliments showed significantly less positivity. Findings support gender-differentiated language styles in pre-adolescents, particularly girls' awareness of boys' less prosocial language in compliments.
Publisher
Humanities and Social Sciences Communications
Published On
Authors
Xinyu Liao, Yanhui Zhang
Tags
gender schema
language styles
compliments
children
discourse analysis

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