Detecting Localized Systematic Fraud in the 2022 Philippine National Elections

Authors

Aldrich Ellis C. Asuncion, Ateneo de Manila UniversityFollow
Jeric C. Briones, Ateneo de Manila UniversityFollow
Eden Delight Miro, Ateneo de Manila UniversityFollow
William Emmanuel S. Yu, Ateneo de Manila UniversityFollow

Document Type

Conference Proceeding

Publication Date

4-10-2024

Abstract

Based on existing election fraud detection methods, we apply different parametric generative models to the May 2022 Philippine national elections. Our analysis shows that because of how these parametric models rely on vote concentrations, the models are inconclusive at a national level, and must be adapted to lower levels of aggregated election data. In particular, preliminary results suggest that further analysis of the elections should compare vote distributions in individual provinces and investigate election fraud at the local level.

Recommended Citation

Asuncion, Aldrich Ellis C.; Briones, Jeric C.; Miro, Eden Delight; and Yu, William Emmanuel S., (2024). Detecting Localized Systematic Fraud in the 2022 Philippine National Elections. Archīum.ATENEO.
https://archium.ateneo.edu/mathematics-faculty-pubs/276