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

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Autore principale: Tunca, Sezai
Natura: Recurso digital
Pubblicazione: Zenodo 2026
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author Tunca, Sezai
author_facet Tunca, Sezai
contents <div> <div>Complete reproducible analysis code for the manuscript "Beyond Explicit Spaces — A Multi-Method Computational Analysis of Discourse in Virtual Reality Erotic Roleplay Communities".</div> <br> <div>Includes:</div> <div>- Python scripts for data preprocessing, TF-IDF vectorization, LDA topic modeling (K=8), semantic network analysis, and thesaurus-based categorization</div> <div>- Visualization generation code for all manuscript figures</div> <div>- Comprehensive documentation (README.md) with step-by-step instructions</div> <div>- Exact package versions (requirements.txt)</div> <div>- Random seed (42) ensures exact reproducibility</div> <div>- Data Set</div> <br> <div>Dataset: 29,035 Reddit posts from VR adult content communities</div> <div>Methods: TF-IDF, LDA (8 topics), semantic networks, thesaurus categorization (5 categories, κ=0.78)</div> <div>Platform: Python 3.12+, runtime ~3 minutes on standard laptop</div> </div>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18791227
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Beyond Explicit Spaces — A Multi-Method Computational Analysis of Discourse in Virtual Reality Erotic Roleplay Communities
Tunca, Sezai
<div> <div>Complete reproducible analysis code for the manuscript "Beyond Explicit Spaces — A Multi-Method Computational Analysis of Discourse in Virtual Reality Erotic Roleplay Communities".</div> <br> <div>Includes:</div> <div>- Python scripts for data preprocessing, TF-IDF vectorization, LDA topic modeling (K=8), semantic network analysis, and thesaurus-based categorization</div> <div>- Visualization generation code for all manuscript figures</div> <div>- Comprehensive documentation (README.md) with step-by-step instructions</div> <div>- Exact package versions (requirements.txt)</div> <div>- Random seed (42) ensures exact reproducibility</div> <div>- Data Set</div> <br> <div>Dataset: 29,035 Reddit posts from VR adult content communities</div> <div>Methods: TF-IDF, LDA (8 topics), semantic networks, thesaurus categorization (5 categories, κ=0.78)</div> <div>Platform: Python 3.12+, runtime ~3 minutes on standard laptop</div> </div>
title Beyond Explicit Spaces — A Multi-Method Computational Analysis of Discourse in Virtual Reality Erotic Roleplay Communities
url https://doi.org/10.5281/zenodo.18791227