Beyond Explicit Spaces — A Multi-Method Computational Analysis of Discourse in Virtual Reality Erotic Roleplay Communities

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Authors: Sezai Tunca
Cited by: 0

Abstract

Complete reproducible analysis code for the manuscript "Beyond Explicit Spaces — A Multi-Method Computational Analysis of Discourse in Virtual Reality Erotic Roleplay Communities". Includes: - Python scripts for data preprocessing, TF-IDF vectorization, LDA topic modeling (K=8), semantic network analysis, and thesaurus-based categorization - Visualization generation code for all manuscript figures - Comprehensive documentation (README.md) with step-by-step instructions - Exact package versions (requirements.txt) - Random seed (42) ensures exact reproducibility - Data Set Dataset: 29,035 Reddit posts from VR adult content communities Methods: TF-IDF, LDA (8 topics), semantic networks, thesaurus categorization (5 categories, κ=0.78) Platform: Python 3.12+, runtime ~3 minutes on standard laptop

Fields of Study & Subjects

Computational and Text Analysis Methods Hate Speech and Cyberbullying Detection Sexuality Behavior and Technology

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN
Document type
Dataset