TY - BOOK
T1 - Decoding Terrorism
T2 - An Interdisciplinary Approach to a Lone-Actor Case
AU - Kupper, Julia
AU - Bojsen-Møller, Marie
AU - Christensen, Tanya Karoli
AU - Wing, Dakota
AU - Papadopulos , Marcus
AU - Smith, Sharon
PY - 2024
Y1 - 2024
N2 - This Element is an interdisciplinary analysis of the language evidence produced before, during and following a lone-actor terrorism attack in Halle, Germany, on October 9, 2019, resulting in two casualties. During his final preparations, the perpetrator, twenty-seven-year-old Stephan Balliet, announced his attack online and disseminated a targeted violence manifesto shortly before live-streaming his violent act. This post-hoc investigation introduces a multi-method approach that synchronizes well-established qualitative methodologies for forensic text analysis – genre, text linguistics, appraisal and uptake – to elucidate these data types. Furthermore, a retroactive threat assessment based on language data from the trial transcripts provides a holistic review of the assailant's background, red flags, triggering events and warning behaviors that could have signaled his movements along the pathway to violence. The results are considered in an organizational context to highlight current challenges faced by security agencies when mitigating the risk of lone-actors who radicalize in online environments.
AB - This Element is an interdisciplinary analysis of the language evidence produced before, during and following a lone-actor terrorism attack in Halle, Germany, on October 9, 2019, resulting in two casualties. During his final preparations, the perpetrator, twenty-seven-year-old Stephan Balliet, announced his attack online and disseminated a targeted violence manifesto shortly before live-streaming his violent act. This post-hoc investigation introduces a multi-method approach that synchronizes well-established qualitative methodologies for forensic text analysis – genre, text linguistics, appraisal and uptake – to elucidate these data types. Furthermore, a retroactive threat assessment based on language data from the trial transcripts provides a holistic review of the assailant's background, red flags, triggering events and warning behaviors that could have signaled his movements along the pathway to violence. The results are considered in an organizational context to highlight current challenges faced by security agencies when mitigating the risk of lone-actors who radicalize in online environments.
U2 - 10.1017/9781009495738
DO - 10.1017/9781009495738
M3 - Antologi
SN - 9781009495745
SN - 9781009495721
T3 - Cambridge Elements in Forensic Linguistics
BT - Decoding Terrorism
PB - Cambridge University Press
CY - Cambridge
ER -