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