Prevalence of sexual content in PC video games
Authors
Doyle, Ian
Issue Date
2024-09-30
Degree
Higher Diploma in Science in Data Analytics
Publisher
Dublin Business School
Rights holder
Rights
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Abstract
This report outlines a research project aimed at quantifying the prevalence and emerging themes of sexual content in video games, specifically those available on the Steam platform. The study involves comprehensive data analysis of a pre-existing data set, preprocessing, and the application of Natural Language Processing (NLP) and machine learning techniques to analyse game descriptors, user reviews, and tags. The project's objectives include understanding implications and providing actionable insights for game developers and writers. The student's learning objectives encompass developing proficiency in data analysis, pre-processing, machine learning and application. This research is expected to offer valuable perspectives on content trends within the PC gaming community, guiding future content creation in the industry.