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100			_aEBNER Julia
245			_aMeasuring socio-psychological drivers of extreme violence in online terrorist manifestos: _ban alternative linguistic risk assessment model/ _cby Julia Ebner, Christopher Kavanagh and Harvey Whitehouse
260			_c2024
520			_aThis paper develops a novel method of assessing the risk that online users will engage in acts of violent extremism based on linguistic markers detectable in terrorist manifestos. A comparative NLP analysis was carried out across fifteen manifestos on a scale from violent terrorist to non-violent politically moderate. We used a dictionary approach to measure the statistical significance of narratives previously identified in terrorism literature in predicting violence. The NLP analysis confirmed our research hypothesis, finding that the linguistic markers of identity fusion (an extreme form of group alignment whereby personal and group identities become functionally equivalent), dehumanising language towards the out-group and violence condoning norms were statistically significantly higher in manifestos of authors who engaged in acts of violent extremism.
598			_aTERRORIST MANIFESTO, VIOLENT EXTREMISM, RISK ASSESSMENT, NEWARTICLS
650			_aTERRORIST MANIFESTO _xVIOLENCE RISK ASSESSMENT
700			_aKAVANAGH Christopher
700			_aWHITEHOUSE Harvey
773			_gThe Journal of Policing, Intelligence and Counter Terrorism, Volume 19, Number 2, April 2024, page: 125-143
856			_uhttps://www.tandfonline.com/doi/full/10.1080/18335330.2023.2246982 _zClick here for full text
942			_2ddc _cARTICLE _n0
999			_c47030 _d47030