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• W3181493851 abstract "AbstractDrone strikes have been ongoing and there is a debate about their benefits. One major question is what is their role with respect to radicalization. This paper presents a data-driven approach to explore the relationship between drone strikes in Pakistan and subsequent responses, often in the form of terrorist attacks carried out by those in the communities targeted by these counterterrorism measures. Our analysis of news reports which discussed drone strikes and radicalization suggests that government-sanctioned drone strikes in Pakistan appear to drive terrorist events with a distributed lag that can be determined analytically. We then utilize these news reports to inform and calibrate an agent-based model which is grounded in radicalization and opinion dynamics theory. In doing so, we were able to simulate terrorist attacks that approximated the rate and magnitude observed in Pakistan from 2007 through 2018. We argue that this research effort advances the field of radicalization and lays the foundation for further work in the area of data-driven modeling and kinetic actions.KeywordsRadicalizationData-driven modelingDrone strikesTerrorismPakistanAgent-based modeling" @default.
• W3181493851 created "2021-07-19" @default.
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• W3181493851 date "2021-01-01" @default.
• W3181493851 modified "2023-09-27" @default.
• W3181493851 title "Kinetic Action and Radicalization: A Case Study of Pakistan" @default.
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• W3181493851 doi "https://doi.org/10.1007/978-3-030-80387-2_31" @default.
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