Creating Women Characters in Horror Films using AI: Avoiding Male Gaze Characters Template

In screenwriting, one of the most essential elements is character. Characters are usually shaped by three critical factors: physical appearance, psychology, and sociology. In horror films, female characters are often used as protagonists, but in the history of horror films, female characters are trapped by the male gaze. The male gaze functions as a mechanism to dehumanize and commodify women, viewing them solely through the lens of heterosexual male desire. Laura Mulvey, in her seminal 1975 essay "Visual Pleasure and Narrative Cinema," posits that films serve to strengthen patriarchal structures by portraying women as mere objects for both the male protagonist inside the film and the audience consuming the film. The use of AI in screenwriting continues to grow, although it is still a matter of debate. As we know, AI works by gathering and generalizing information from pre-existing data. This becomes a problem when we want to create female characters that are not considered male-gaze. Of course, not all horror films that have been made use the male gaze, but we must understand how horror films develop occasionally. This paper examines the relationship between artificial intelligence and creating female characters in scriptwriting, especially horror films. A conceptual paper is a paper without data, as it is focused on "integration and proposing new relationships among constructs”.This paper also aims to find the next step for us to create women characters with AI. Keywords: AI; scriptwriting; character; male gaze; horror

Authors

Institutions

Publication Details

Journal
ULTIMART Jurnal Komunikasi Visual
Published
2024-12-29
DOI
https://doi.org/10.31937/ultimart.v17i2.3833
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Creating Women Characters in Horror Films using AI: Avoiding Male Gaze Characters Template

Devina Sofiyanti, Irwanto Irwanto
ULTIMART Jurnal Komunikasi Visual
Face recognition and analysis
article

Creating Women Characters in Horror Films using AI: Avoiding Male Gaze Characters Template

Devina Sofiyanti, Irwanto Irwanto
article en

Abstract

In screenwriting, one of the most essential elements is character. Characters are usually shaped by three critical factors: physical appearance, psychology, and sociology. In horror films, female characters are often used as protagonists, but in the history of horror films, female characters are trapped by the male gaze. The male gaze functions as a mechanism to dehumanize and commodify women, viewing them solely through the lens of heterosexual male desire. Laura Mulvey, in her seminal 1975 essay "Visual Pleasure and Narrative Cinema," posits that films serve to strengthen patriarchal structures by portraying women as mere objects for both the male protagonist inside the film and the audience consuming the film. The use of AI in screenwriting continues to grow, although it is still a matter of debate. As we know, AI works by gathering and generalizing information from pre-existing data. This becomes a problem when we want to create female characters that are not considered male-gaze. Of course, not all horror films that have been made use the male gaze, but we must understand how horror films develop occasionally. This paper examines the relationship between artificial intelligence and creating female characters in scriptwriting, especially horror films. A conceptual paper is a paper without data, as it is focused on "integration and proposing new relationships among constructs”.This paper also aims to find the next step for us to create women characters with AI. Keywords: AI; scriptwriting; character; male gaze; horror

ULTIMART Jurnal Komunikasi VisualVol. 17(2)
Binus University (ID)
Gender equality
Openalex Percentile: Top 75%
Face recognition and analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.