Towards a More Engaged Democracy: Using Statistical Methods to Detect Election Fraud in the 2022 Philippine National Elections

• Main Authors: Cardaño, Juan Miguel, Mande, Bryan Patrick, Tionko, Seth William, Asuncion, Aldrich Ellis C, Briones, Jeric C.
• Format: text
• Published: Archīum Ateneo 2024
• Subjects: National Elections; Fraud Detection; Statistical Models; Voting Irregularities; Engaged Citizenry; Civic and Community Engagement; Politics and Social Change; Public Affairs
• Online Access: https://archium.ateneo.edu/mathematics-faculty-pubs/279; https://archium.ateneo.edu/context/mathematics-faculty-pubs/article/1280/viewcontent/ES_ML_2024_S_076.pdf
• Institution: Ateneo De Manila University

This paper aims to show how citizens can further participate in the elections, aside from just voting. Given the accusations of fraud, this study demonstrates how existing election fraud detection methods can be used in the 2022 Philippine National Elections (PNE) context. Specifically, histograms k...