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Background: This thesis explores the far right online beyond the study of political parties and extremist far-right sites and content. Specifically, it focuses on the proliferation of far-right discourse among ‘ordinary’ internet users in mainstream digital settings. In doing so, it aims to bring the study of far-right discourse and the enabling roles of digital platforms and influential users into dialogue. It does so by analysing what is communicated and how; where it is communicated and therein the roles of different socio-technical features associated with various online settings; and finally, by whom, focusing on particularly influential users.

Methods: The thesis uses material from four different datasets of digital, user-generated content, collected at different times through different methods. These datasets have been analysed using mixedmethods approaches wherein interpretative methods, primarily in the form of critical discourse analysis (CDA), have been combined with various data processing techniques, descriptive statistics, visualisations, and computational data analysis methods.

Results: The thesis provides a number of findings in relation to farright discourse, digital platforms, and online influence, respectively. In doing so it builds on the findings of previous research, illustrates unexpected and contradictory results in relation to what was previously known, and makes a number of interesting new discoveries. Overall, it begins to unravel the complex interconnectedness of far-right discourse, platforms, and influential users, and illustrates that to understand the far-right’s efforts online it is imperative to take several dimensions into account simultaneously.

Conclusion: The thesis makes several contributions. First, the thesis makes a conceptual contribution by focusing on the interconnectedness of far-right efforts online. Second, it makes an empirical contribution by exploring the multifaceted grassroots or ‘non-party’ dimensions of farright mobilisation, Finally, the thesis makes a methodological contribution through its mix of methods which illustrates how different aspects of the far right, over varying time periods, diversely sized and shaped datasets, and user constellations, can be approached to reveal broader overarching patterns as well as intricate details.