Countering Violent Extremism: Scientific Methods &amp; Strategies

Fenstermacher, Laurie; Leventhal, Todd; Canna, Sarah

doi:10.21236/ada552480

Cited by 26 publications

(4 citation statements)

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“…Experts have argued that it is necessary to counter terrorist groups' ideological narratives by replacing them with compelling alternative messages, in comparison to the military approach that is currently in use by MNJTF and the G5 Sahel Forces [Ladbury, et. al., 2016;Laurie, et. al.…”

Section: Results and Findings Counter Ideological Narratives To Comba...mentioning

confidence: 99%

Untitled

2023

JIOS

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Рецензируемый научный академический журнал Учрежден Ученым советом Института востоковедения Российской академии наук Зарегистрирован в Национальном центре ISSN Российской Федерации Зарегистрирован в Федеральной службе по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор): ПИ № ФС 77-79902 от 18.12.2020 Главны й редактор доктор исторических наук, главный научный сотрудник Института востоковедения РАН Е. Ю.

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Section: Results and Findings Counter Ideological Narratives To Comba...mentioning

confidence: 99%

Untitled

2023

JIOS

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“…VEOs leverage existing (Internet) technologies to conduct their operations, recruit members, solicit financing, and facilitate strategic objectives during conflict (Denning, ; Weimann, ). The lowering of technological barriers has changed organizations’ behaviors on the short‐end of the power asymmetry and enabled the historically disadvantaged VEOs to launch social media campaigns akin to those of large governments and corporations (Balmer, ; Bartlett and Reynolds, ; Fenstermacher & Leventhal, ).…”

Section: Usage Patterns Of Veos Onlinementioning

confidence: 99%

Do Machines Replicate Humans? Toward a Unified Understanding of Radicalizing Content on the Open Social Web

Hall¹,

Logan²,

Ligon³

et al. 2019

Policy & Internet

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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.

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“…It can be assumed that those who foster violent extremism will continue to find new ways to employ social media to advance their cause. Collective efforts at prevention must continue to focus on using social media to counter extremist propaganda (Payne, 2009;Fenstermacher et al, 2011). Collaboration across professions and sectors to create prevention-focused coordinated messaging, particularly targeted to vulnerable populations, is needed to address violent extremism at the ideological level (Deardorff, 2010).…”

Section: Countering Violent Extremismmentioning

confidence: 99%