Speaker
Description
Generative AI has transformed how political and extremist groups create visual content online, with significant implications for disinformation, radicalisation, and online harms. The British far-right’s co-opting of Amelia, a fictional character in Shout Out UK’s anti-extremism game Pathways, serves as an important case study in demonstrating the shifting visual aesthetics used in far-right digital space, accelerated by the availability of AI applications for both video and image production. Building on a grant-funded project exploring AI-driven harms in far-right and manosphere ecosystems, this research seeks to catalogue how visual signifiers of British nationalism and white femininity are (re)produced within AI-generated Amelia visuals. In analysing 70 images and videos shared by two X accounts in early 2026 (@AmeliaOnSolana and @makeukgood), I highlight how common far-right narratives around nostalgia, white replacement, and anti-immigrant sentiments are visually (re)constructed within AI-generated Amelia content. Additionally, I explore how white femininity and heterosexuality are central to Amelia’s appeal amongst the British far-right, highlighting continuities in output aesthetics across time and platforms. Importantly, these visuals are steeped in implication and ambiguity, expanding radicalisation pathways and opportunities for propaganda production while making removal and response difficult.
| Institutional Affiliation | University of Manchester |
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