Measuring Language and Source Bias in Global Cybersecurity Education Directories
English preprint and reproducibility materials for a source-aware study of how language, query design, source architecture, temporal evidence, and counting unit affect the observed population of cybersecurity education programs. The record includes the English preprint, processed public research data, protocols, data dictionaries, case-study evidence, deterministic validation scripts, and SHA-256 checksums. It does not claim a complete world census or country rankings. Bulk third-party source captures are excluded because redistribution rights were not established.
Authors
- Federico Pacheco (ORCID: https://orcid.org/0000-0002-2803-1162)
Institutions
- National Technological University (AR)
- Universidad Nacional Tecnológica (DO)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-05
- DOI
- https://doi.org/10.5281/zenodo.22376283
- Primary Topic
- Cybersecurity and Cyber Warfare Studies
- Type
- preprint