Nonparametric Detection of Gerrymandering in Multiparty Plurality Elections

Tytuł:

Konferencja:

International Joint Conference on Artificial Intelligence [IJCAI]

Rok:

2024

Opis:

Partisan gerrymandering is one of the major challenges to election integrity in modern day democracies. Yet most of the existing methods for detecting partisan gerrymandering are narrowly tailored toward fully contested two-party elections, and fail if there are more parties or if the number of candidates per district varies. We propose a new method, applying nonparametric statistical learning to detect anomalies in the relation between (aggregate) votes and (aggregate) seats.

Strony:

2967-2975

Numer DOI:

https://doi.org/10.24963/ijcai.2024/329

Link:

https://www.ijcai.org/proceedings/2024/329