Interpretable ML project combining Global Terrorism Database event records with international news framing to analyze terrorism severity rankings, residuals, and feature importance.
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Updated
May 2, 2026 - Python
Interpretable ML project combining Global Terrorism Database event records with international news framing to analyze terrorism severity rankings, residuals, and feature importance.
Comparative analysis of how domestic Ethiopian and Western media framed the Tigray conflict (2020-2022), with data and reproducible methods.
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