Gotham city. Predicting ‘corrupted’ municipalities with machine learning
نویسندگان
چکیده
The economic costs of white-collar crimes, such as corruption, bribery, embezzlement, abuse authority, and fraud, are substantial. How to eradicate them is a mounting task in many countries. Using police archives, we apply machine learning algorithms predict corruption crimes Italian municipalities. Drawing on input data from 2011, our classification trees correctly forecast over 70 % (about 80 %) the municipalities that will experience episodes (an increase crimes) period 2012–2014. We show algorithmic predictions could strengthen ability 2012 Italy's anti-corruption law fight delinquencies prevent occurrence while preserving transparency accountability policymaker.
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ژورنال
عنوان ژورنال: Technological Forecasting and Social Change
سال: 2022
ISSN: ['0040-1625', '1873-5509']
DOI: https://doi.org/10.1016/j.techfore.2022.122016