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Round numbers as evidence of voter fraud
source link: https://rss.onlinelibrary.wiley.com/doi/full/10.1111/j.1740-9713.2018.01141.x
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Abstract
Two years ago, Dmitry Kobak, Sergey Shpilkin and Maxim S. Pshenichnikov uncovered anomalies in Russia's election data. Following President Vladimir Putin's re‐election in March this year, they take a fresh look at two new sets of data – but find much the same story within
References
Citing Literature
Number of times cited according to CrossRef: 2
-
Mali Zhang,
R. Michael Alvarez,
Ines Levin,
Election forensics: Using machine learning and synthetic data for possible election anomaly detection,
PLOS ONE,
10.1371/journal.pone.0223950,
14
,
10,
(e0223950),
(2019).
-
Ruben Enikolopov,
Alexey Makarin,
Maria Petrova,
Social Image, Networks, and Protest Participation,
SSRN Electronic Journal,
10.2139/ssrn.2940171,
(2017).
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