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Contrasting compulsive behaviour: Computerized text analysis of compulsion narratives.
Caitlin Ferreira1,2, Joey Lam3, Leyland Pitt3,4
1University of Cape Town, South Africa.
Compulsive gambling and compulsive buying narratives share similarities due to impulse-control issues. Text analysis revealed differences in emotional tone and authenticity but not analytical thinking between the two groups.
Area of Science:
- Psychology
- Behavioral Science
- Digital Humanities
Background:
- Compulsive gambling and compulsive buying behaviors share underlying impulse-control deficits.
- Lexical analysis of personal narratives can reveal psychological characteristics of these compulsions.
Purpose of the Study:
- To compare the linguistic characteristics of personal narratives from individuals with compulsive gambling and compulsive buying behaviors.
- To investigate similarities and differences in text-based psychological markers between these two compulsive behaviors.
Main Methods:
- Utilized secondary data from an online mental health forum (Psychforums).
- Analyzed narratives of compulsive gambling (n=199) and compulsive buying (n=196) using the Linguistic Inquiry and Word Count (LIWC) tool.
- Performed lexical analysis focusing on psychological and social dimensions of language.
Main Results:
- Compulsive buying narratives exhibited significantly higher clout and emotional tone compared to compulsive gambling narratives.
- Compulsive buying narratives demonstrated significantly lower authenticity than compulsive gambling narratives.
- No significant differences were found in analytical thinking between the two groups' narratives.
Conclusions:
- Linguistic analysis of online narratives offers insights into the psychological underpinnings of compulsive behaviors.
- While sharing impulse-control roots, compulsive buying and gambling manifest distinct linguistic markers related to emotional expression and self-perception.
- Future research should incorporate demographic variables and compare narratives across diverse online platforms.
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