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Mapping the Ideological Landscape of Extreme Misogyny

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Keywords: Misogyny, Extremism, Masculinity, Far-right, Conservative

Despite the growing complexity of the online misogynist landscape and important efforts to study some misogynist groups through singular case studies, scholars have a limited understanding of the distinctions between the various relevant misogynist communities in terms of their rhetorical, operational, and social facets. The current research aims to address this gap by employing a multi-layered analytical framework of different misogynist communities. We begin with a comprehensive literature review conceptualising extreme misogyny with an overview of the current misogynist spaces and ideological narratives. Consequently, we sample the online ecosystem of extreme misogyny both within and across these communities while utilising a multi-categorical tool in order to identify the discursive, organisational, and operational distinctions between various misogynist communities. Our findings reflect substantial differences between the various misogynist communities in terms of their legitimacy to violence, the conceptualisation of their adversaries, ideological vision’s time orientation, and overall operational discourse.

Related Readings:

Jasser, G., Kelly, M., and Rothermel, A. Male Supremacism and the Hanau Terrorist Attack: Between Online Misogyny and Far-Right Violence. Perspective, The International Centre for Counter-Terrorism, 20 May 2020.

Kutner, S. Swiping Right: The Allure of Hyper Masculinity and Cryptofascism for Men Who Join the Proud Boys. Research Paper, The International Centre for Counter-Terrorism, 26 May 2020

Leidig, E. Why Terrorism Studies Miss the Mark When It Comes To Incels. Perspective, The International Centre for Counter-Terrorism, 31 August, 2021

Leidig, E. “We Are Worth Fighting for”: Women in Far-Right Extremism. Perspective, The International Centre for Counter-Terrorism, 26 October, 2021

The post Mapping the Ideological Landscape of Extreme Misogyny appeared first on ICCT.


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