Election forensics: Using machine learning and synthetic data for possible election anomaly detection

Assuring election integrity is essential for the legitimacy of elected representative democratic government. Until recently, other than in-person election observation, there have been few quantitative methods for determining the integrity of a democratic election. Here we present a machine learning...

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Veröffentlicht in:PloS one 2019-10, Vol.14 (10), p.e0223950-e0223950
Hauptverfasser: Zhang, Mali, Alvarez, R Michael, Levin, Ines
Format: Artikel
Sprache:eng
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