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- W2612436542 abstract "Terrorism is a matter of great concern in many nations because of its impact on sustainable development, which is critical for developing countries. Efforts on the part of security agencies need to stay a step ahead of threats of terrorism to effectively prevent their occurrence. Many research efforts that sought to combat terrorism using big data have been reported in the literature. However, most of them have targeted data from only one type of social media per time. This paper proposes a model that harnesses data from multiple social media sources in order to detect terrorist activities by using Apache Spark technology for implementation. This paper describes the Social Media Analysis for Combating Terrorism (SMACT) model as a plausible approach that leverages Big Data analytics to address terrorism problems in developing nations. SMACT is further illustrated by a practical use case from the Nigerian context in order to depict its viability as a potential panacea for handling terrorism threats." @default.
- W2612436542 created "2017-05-19" @default.
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- W2612436542 date "2017-03-01" @default.
- W2612436542 modified "2023-09-23" @default.
- W2612436542 title "Leveraging big data to combat terrorism in developing countries" @default.
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- W2612436542 doi "https://doi.org/10.1109/ictas.2017.7920662" @default.
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