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The Emotional Content of Children's Writing: A Data-Driven Approach.
Yuzhen Dong1, Yaling Hsiao2, Nicola Dawson1
1Department of Experimental Psychology, University of Oxford.
Cognitive Science
|March 18, 2024
Summary
Children
Area of Science:
- Psychology
- Linguistics
- Developmental Psychology
Background:
- Emotion is linked to language, but children's written emotional expression is understudied.
- Understanding emotional development in children's writing is crucial.
Purpose of the Study:
- To investigate how children aged 7-13 express emotion in their writing.
- To examine age and gender differences in children's written emotional expression.
Main Methods:
- Analyzed a large corpus (N>100,000) of children's stories using lexicon-based and machine learning (BERT, TextBlob) approaches.
- Employed Generalized Additive Models to analyze sentiment changes across age and gender.
Main Results:
- Positive sentiment in children's writing declines with age.
- Girls' stories exhibited more positive sentiment than boys' stories.
- Findings align with previous research on mood and emotion word usage.
Conclusions:
- Large-scale data-driven methods effectively reveal patterns in children's writing.
- Further research is needed to explore the complex relationship between written language and emotion during development.
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