Contrasting compulsive behaviour: Computerized text analysis of compulsion narratives

Author:

Ferreira Caitlin12ORCID,Lam Joey3,Pitt Leyland34,Caruana Albert5ORCID,Brown Terrence6

Affiliation:

1. University of Cape Town, South Africa

2. Luleå University of Technology, Sweden

3. Simon Fraser University, Canada

4. Hanken School of Economics, Finland

5. University of Malta, Malta

6. KTH Royal Institute of Technology, Sweden

Abstract

Those who gamble compulsively, and those who shop or buy in a compulsive manner share a number of common characteristics, stemming from similar impulse-control issues. As such, it is predicted that a lexical analysis of personal narratives of compulsion would share similarities. Using secondary data from an online mental health forum, Psychforums, the research analyzed narratives of compulsive gambling ( n = 199) and compulsive buying ( n = 196) using the automated text analysis tool, LIWC. The results indicated that compulsive buying narratives rated significantly higher in clout and emotional tone and significantly lower in authenticity, with no significant differences noted in analytical thinking between the two compulsion narratives. Recommendations for future research include that demographic variables be incorporated and that narratives sourced from different online platforms should be contrasted.

Publisher

SAGE Publications

Subject

Applied Psychology

Reference74 articles.

1. Detecting the dark side of personality using social media status updates

2. The relationships between behavioral addictions and the five-factor model of personality

3. APA – American Psychiatric Association (2020) What is gambling disorder? Available at: https://www.psychiatry.org/patients-families/gambling-disorder/what-is-gambling-disorder (accessed November 2020).

4. Risk-taking and decision-making in youth: Relationships to addiction vulnerability

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