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The Addio Pizzo movement: exploring social change using agent-based modelling

Extortion racketeering is a crime that blights the lives of everyone in societies where it takes hold. Whilst most European countries have some form of extortion racketeering, in most countries it is isolated to some ethnic communities. In Southern Italy and Sicily, extortion racketeering is still a...

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Autor principal: Elsenbroich, Corinna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6979701/
https://www.ncbi.nlm.nih.gov/pubmed/32025180
http://dx.doi.org/10.1007/s12117-016-9288-x
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author Elsenbroich, Corinna
author_facet Elsenbroich, Corinna
author_sort Elsenbroich, Corinna
collection PubMed
description Extortion racketeering is a crime that blights the lives of everyone in societies where it takes hold. Whilst most European countries have some form of extortion racketeering, in most countries it is isolated to some ethnic communities. In Southern Italy and Sicily, extortion racketeering is still a feature of overall society. This paper attempts to look at the phenomenon from the angle of collectives, of resistance building through civic organisations such as Addiopizzo. For this investigation a computational model is presented to analyse the effect of team-reasoning on levels of resistance in systemic extortion rackets. An agent-based model is presented that implements the interaction of different kinds of decision-making of extortion victims with law enforcement deterrence. The results show that established extortion rackets are hard to undermine unless bottom-up civic engagement and law enforcement go hand in hand.
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spelling pubmed-69797012020-02-03 The Addio Pizzo movement: exploring social change using agent-based modelling Elsenbroich, Corinna Trends Organ Crime Article Extortion racketeering is a crime that blights the lives of everyone in societies where it takes hold. Whilst most European countries have some form of extortion racketeering, in most countries it is isolated to some ethnic communities. In Southern Italy and Sicily, extortion racketeering is still a feature of overall society. This paper attempts to look at the phenomenon from the angle of collectives, of resistance building through civic organisations such as Addiopizzo. For this investigation a computational model is presented to analyse the effect of team-reasoning on levels of resistance in systemic extortion rackets. An agent-based model is presented that implements the interaction of different kinds of decision-making of extortion victims with law enforcement deterrence. The results show that established extortion rackets are hard to undermine unless bottom-up civic engagement and law enforcement go hand in hand. Springer US 2016-09-10 2017 /pmc/articles/PMC6979701/ /pubmed/32025180 http://dx.doi.org/10.1007/s12117-016-9288-x Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Elsenbroich, Corinna
The Addio Pizzo movement: exploring social change using agent-based modelling
title The Addio Pizzo movement: exploring social change using agent-based modelling
title_full The Addio Pizzo movement: exploring social change using agent-based modelling
title_fullStr The Addio Pizzo movement: exploring social change using agent-based modelling
title_full_unstemmed The Addio Pizzo movement: exploring social change using agent-based modelling
title_short The Addio Pizzo movement: exploring social change using agent-based modelling
title_sort addio pizzo movement: exploring social change using agent-based modelling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6979701/
https://www.ncbi.nlm.nih.gov/pubmed/32025180
http://dx.doi.org/10.1007/s12117-016-9288-x
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