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4CHAN FAVOURS THE AUDACIOUS: IMPACT OF DECENTRALIZATION ON DIGITALLY NETWORKED MOBILIZATION

dc.contributor.advisorHeath, Melanie
dc.contributor.authorKasimov, Andrey
dc.contributor.departmentSociologyen_US
dc.date.accessioned2023-10-25T22:35:46Z
dc.date.available2023-10-25T22:35:46Z
dc.date.issued2023-11
dc.description.abstractDecentralization is the process by which the decision making, and planning activities of a community or movement are distributed away from a central authority and spread out more evenly among its members. Decentralized movements have started to regain prominence as digital networking became widely available around the world through the internet and mobile phones over the last two decades. However, there is still a gap in understanding whether digitally networked movements can be sustained over longer periods of time and under what conditions. This dissertation is a mixed-methods study consisting of content analysis and semi-structured in-depth interviews with users of online far-right communities. Specifically, it is a comparative analysis of a decentralized online far-right community (4chan/pol) and centralized online far-right and mainstream communities (Stormfront and Twitter, respectively). The central aim of this dissertation is to show how decentralization impacts essential elements of digitally networked mobilization. The research questions are threefold. First, what is the impact of decentralization on which logic of mobilization (connective or collective action) a movement adapts? Second, does connective action truly do away with the need for collective identity formation, as its proponents have claimed? Third, what is the role of decentralized movement communities during major on-the-ground mobilization events? In chapter two I identify how decentralization impacts the logic of mobilization used by proponents of the far-right political project to sustain decentralized protest for a generalized far-right position. In chapter three I use interview data to show how collective identity remains an integral component of decentralized communities by introducing the concept of Oppositional Identity. Finally, chapter four follows the use of online memes and discourse during the events of the January 6th Insurrection on the Capitol to reveal how decentralized communities capitalize on failed offline mobilization attempts of specific issue-based movements to further radicalize individuals who engage in right-wing activism.en_US
dc.description.degreeDoctor of Philosophy (PhD)en_US
dc.description.degreetypeDissertationen_US
dc.description.layabstractThis thesis uncovers important differences between online based social movements on the far-right. This thesis compares two far-right communities: the decentralized 4chan/pol to the centralized Stormfront. The findings make three important contributions to the field of social movements and far-right studies. First, the findings reveal that members of 4chan/pol are able to successfully sustain mobilization that does not depend on organizational involvement and cultivation of solidarity among constituents. This allows members to bypass significant upfront costs of activism without eventually dissipating, similar to movements on the left. Second, the findings reveal that solidarity amongst ingroup members is achieved as a result of mobilization, and not the other way around. For 4chan/pol members, solidarity is sustained through the opposition to the mainstream media rather than through building bonds with members of the ingroup. Finally, the findings reveal how decentralized spaces like 4chan/pol capitalize on offline mobilization of other far-right movements to radicalize supporters during and immediately after the unsuccessful insurrection on the United States Capitol on January 6th, 2021.en_US
dc.identifier.urihttp://hdl.handle.net/11375/29134
dc.language.isoenen_US
dc.subjectsocial movements, far-right, connective action, oppositional identityen_US
dc.title4CHAN FAVOURS THE AUDACIOUS: IMPACT OF DECENTRALIZATION ON DIGITALLY NETWORKED MOBILIZATIONen_US
dc.typeThesisen_US

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