Adverse Childhood Experiences (ACE), Adolescent Misconduct, and Violent Extremism: A Comparison of Former Left-Wing and Right-Wing Extremists
In: Terrorism and political violence, Band 36, Heft 1, S. 55-74
ISSN: 1556-1836
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In: Terrorism and political violence, Band 36, Heft 1, S. 55-74
ISSN: 1556-1836
In: Plains anthropologist, Band 48, Heft 187, S. 209-224
ISSN: 2052-546X
In: Policy & internet, Band 12, Heft 1, S. 109-138
ISSN: 1944-2866
The advent of the Internet inadvertently augmented the functioning and success of violent extremist organizations. Terrorist organizations like the Islamic State in Iraq and Syria (ISIS) use the Internet to project their message to a global audience. The majority of research and practice on web‐based terrorist propaganda uses human coders to classify content, raising serious concerns such as burnout, mental stress, and reliability of the coded data. More recently, technology platforms and researchers have started to examine the online content using automated classification procedures. However, there are questions about the robustness of automated procedures, given insufficient research comparing and contextualizing the difference between human and machine coding. This article compares output of three text analytics packages with that of human coders on a sample of one hundred nonindexed web pages associated with ISIS. We find that prevalent topics (e.g., holy war) are accurately detected by the three packages whereas nuanced concepts (Lone Wolf attacks) are generally missed. Our findings suggest that naïve approaches of standard applications do not approximate human understanding, and therefore consumption, of radicalizing content. Before radicalizing content can be automatically detected, we need a closer approximation to human understanding.
In: Occasional paper no. 12
In: Annals of work exposures and health: addressing the cause and control of work-related illness and injury, Band 61, Heft 5, S. 589-595
ISSN: 2398-7316
In: Current anthropology, Band 26, Heft 3, S. 303-322
ISSN: 1537-5382