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Statistical analysis of risk assessment factors and metrics to evaluate radicalisation in Twitter

dc.contributor.authorLara-Cabrera, Raúl
dc.contributor.authorGonzalez-Pardo, Antonio
dc.contributor.authorCamacho, David
dc.date.accessioned2024-01-29T09:10:14Z
dc.date.available2024-01-29T09:10:14Z
dc.date.issued2019-04
dc.identifier.citationStatistical analysis of risk assessment factors and metrics to evaluate radicalisation in Twitter. R. Lara-Cabrera, A. Gonzalez-Pardo, D. Camacho. Future Generation Computer Systems, Vol 93, pp 971 - 978, 2019es
dc.identifier.issn0167-739X
dc.identifier.urihttps://hdl.handle.net/10115/29128
dc.description.abstractNowadays, Social Networks have become an essential communication tools producing a large amount of information about their users and their interactions, which can be analysed with Data Mining methods. In the last years, Social Networks are being used to radicalise people. In this paper, we study the performance of a set of indicators and their respective metrics, devoted to assess the risk of radicalisation of a precise individual on three different datasets. Keyword-based metrics, even though depending on the written language, performs well when measuring frustration, perception of discrimination as well as declaration of negative and positive ideas about Western society and Jihadism, respectively. However, metrics based on frequent habits such as writing ellipses are not well enough to characterise a user in risk of radicalisation. The paper presents a detailed description of both, the set of indicators used to assess the radicalisation in Social Networks and the set of datasets used to evaluate them. Finally, an experimental study over these datasets are carried out to evaluate the performance of the metrics considered.es
dc.language.isoenges
dc.publisherFuture Generation Computer Systems (Elsevier)es
dc.subjectSocial Network Analysises
dc.subjectRisk Assessmentes
dc.subjectComplex Networkses
dc.subjectRadicalisation Factorses
dc.titleStatistical analysis of risk assessment factors and metrics to evaluate radicalisation in Twitteres
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.future.2017.10.046es
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses


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