Hostile and Aggressive Semantic Themes in Children’s Speech: Discovering Linguistic Indicators for Aggression Restricted; Files Only
Qinxin, Yuan (Spring 2023)
Abstract
Specific and targeted indicators and predictors of psychopathology help identify individuals who are at risk for developing mental health problems. The present study investigated whether aggressive children have special linguistic indicators in their speech, reflecting their deficits in social perception. Data were collected on children’s answers to a specific set of open-ended questions after watching video clips of one child ruining another child’s play materials with varying intent. We transcribed children’s recorded speech into text, and used a natural language processing tool to extract instances of noun, verb and adjective use. Then, we manually curated and used ChatGPT to generate aggression-related words and prosocial words. We predicted and found that children who are high in aggression present more semantic themes related to hostility, aggression, and threat - but not prosocial themes - than children who are low in aggression. The results for aggression-related themes held for manually curated but not ChatGPT generated themes. The results should encourage semantic analyses for understanding the causes and mechanisms underlying aggression and for the diagnosis, prevention and treatment of externalizing psychopathology. The results also raise questions about limitations of applying ChatGPT in psychology research.
Table of Contents
Chapter 1: Introduction...........................................................................1
Chapter 2: Methods.................................................................................5
Chapter 3: Results.................................................................................11
Chapter 4: Discussion............................................................................15
Chapter 5: Appendix.............................................................................20
Chapter 6: Reference.............................................................................30
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File download under embargo until 19 May 2025 | 2023-04-10 11:12:05 -0400 | File download under embargo until 19 May 2025 |
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