Abstract
This paper identifies perceptions of injustice, grievance, and alienation as online drivers of radicalisation by concentrating on contemporary visual radicalisation patterns. It focuses on far-right agents of radicalisation in the UK with a particular analysis of visual and ephemeral drivers of radicalisation on social media platforms. We analysed widespread TikTok hashtags which embody mainstream right-wing ideologies. Using these hashtags, we selected four popular videos (> 30k views) for visual thematic analysis of their compositional content and comment-sphere to explore everyday representations and discourses of far-right ideologies. Our findings highlight mundane online expressions on TikTok that collectively reinforce notions of a shared idealised identity built on nostalgic reinterpretations of an imperial past, which contribute to the mainstreaming of far-right ideas and ideologies.
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No potential conflict of interest was reported by the author(s).
Notes
1 New Labour is a period of the Labour Party from 1997 onwards, maintaining its support in the 2001 and 2005 elections.
2 The Brexit vote took place on the 23rd of June 2016 to leave the EU. The UK then withdrew from the EU on the 31st of January 2020.
3 Prager University is an American non-profit media company without an academic accreditation. It creates content supporting and spreading right-wing views (Bernstein Citation2018).
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Notes on contributors
Ozge Ozduzen
Dr Ozge Ozduzen is lecturer in Digital Media and Society in the Department of Sociological Studies at the University of Sheffield, Sheffield, UK. She is a PI on the British Academy project entitled ‘Mapping and visualising intersections of social inequalities, community mistrust, and vaccine hesitancy in online and physical spaces in the UK and US’ and co-PI on the Horizon 2020 project D.Rad: Deradicalization in Europe and Beyond: Detect, Resolve, Reintegrate.
Nelli Ferenczi
Dr Nelli Ferenczi is a lecturer in Psychology and a member of the Centre for Culture and Evolution at Brunel University London. She is a Co-I on the British Academy project entitled ‘Mapping and visualising intersections of social inequalities, community mistrust, and vaccine hesitancy in online and physical spaces in the UK and US’ co-PI on the Horizon 2020 project D.Rad: Deradicalization in Europe and Beyond: Detect, Resolve, Reintegrate.
Isabel Holmes
Isabel Holmes is a doctoral researcher in Computer Science at Brunel University London. Having completed a BSc in Psychology and an MSc in Data Science at Goldsmiths, University of London, she works on Computational Social Psychology and she was a research assistant for the Horizon 2020 project D.Rad: Deradicalization in Europe and Beyond: Detect, Resolve, Reintegrate.