Forensic Linguistics in My Friend Dahmer Movie Script

The research aimed at finding out the types of criminals and to describe the cause of the main character become a criminal in the movie script of My Friend Dahmer by Marc Meyers. The data were analysed through Sutherland’s theory in which the data presented in the qualitative descriptive method. The results reveal that there were four types of criminal using in the script such as white-collar crime, violent crime, property crime, and consensual crime or victimless crime. Each criminology has a different meaning from each category in each forensic linguistics. The four criminal types that the cause of the main character to become a criminal person.

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Publication Details

Journal
Humaniora Journal of Linguistics Literature and Education
Published
2025-06-30
DOI
https://doi.org/10.56326/jlle.v5i1.6442
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Forensic Linguistics in My Friend Dahmer Movie Script

Andi Tenri Abeng, Sudirman Sudirman, A Ahmad
Humaniora Journal of Linguistics Literature and Education
Hate Speech and Cyberbullying Detection
article

Forensic Linguistics in My Friend Dahmer Movie Script

Andi Tenri Abeng, Sudirman Sudirman, A Ahmad
article en

Abstract

The research aimed at finding out the types of criminals and to describe the cause of the main character become a criminal in the movie script of My Friend Dahmer by Marc Meyers. The data were analysed through Sutherland’s theory in which the data presented in the qualitative descriptive method. The results reveal that there were four types of criminal using in the script such as white-collar crime, violent crime, property crime, and consensual crime or victimless crime. Each criminology has a different meaning from each category in each forensic linguistics. The four criminal types that the cause of the main character to become a criminal person.

Humaniora Journal of Linguistics Literature and EducationVol. 5(1)
Soka University (JP), Universitas Bosowa (ID)
Openalex Percentile: Top 91%
Hate Speech and Cyberbullying Detection
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