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.

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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
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Measuring Language and Source Bias in Global Cybersecurity Education Directories

Federico Pacheco
Zenodo (CERN European Organization for Nuclear Research)
Cybersecurity and Cyber Warfare Studies
preprint

Measuring Language and Source Bias in Global Cybersecurity Education Directories

Federico Pacheco
preprint en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
National Technological University (AR), Universidad Nacional Tecnológica (DO)
Quality Education
Cybersecurity and Cyber Warfare Studies
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