This work illustrates far-right communities using data visualization techniques, identifies a taxonomy of user-types, analyzes themes and stories that motivate far-right users, and tracks the spread of linked forms of anti-Muslim sentiment, reactionary ideologies, and (mis)information. In doing so, Digital Islamophobia details how far-right discourse is not merely national, or even transatlantic, but increasingly transnationalized among American, German, as well as Indian and Nigerian digital networks. By tracking and tracing the contours of these far-right digital communities on Twitter and analyzing the content of their conversations, Digital Islamophobia provides policy-makers, researchers, and scholars with a potential road-map to stop them.
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