This repository contains supporting code, analysis and documentation for article ``Explainability of Text Clustering Visualizations – Twitter Misinformation Case Study''.
Content:
- `comprehensibility_study' - materials for the user study (visualizations shown to the participants, questionaires, analysis of answers)
- `clustering_analysis' - original code and results for the case study on the Russian Trolls dataset
- `clustering_analysis_v2' - alternative code for (using all tweets per account) the Russian Trolls dataset, code for the 'Mannheim' dataset