From Craft to Co-Creation: AI as Collaborator in Fan Localisation

Abstract

AI integration in creative work has taken a significant position in the creative industry and the fan-localisation of creative content. While existing research studies the phenomenon, it leaves a gap in verifying the role of AI in changing the pattern of AI creativity and the influence it has on authorship, throughput, and exit intent among the participants of human-AI collaboration. This research aims to document the role of AI tools in reconfiguring workflows, reassigning tasks, and influencing the meanings of authorship, skill, and value in a fan localisation group, by addressing the question: how does the introduction of AI assistance reshape labour division, quality control, and identity narratives within a fan translation community? Accordingly, the research conducted a survey of n=200 participants using a Likert-scale-based questionnaire that was studied using a multiple regression analysis process. The findings reveal that AI increases the translation throughput significantly while increasing the disputes over authenticity and quality of the process, which illustrates the technical pressures and motivates the retention of the participants. The research contributes to the greater discourse of AI-human creative work and the impact it has on community participation and the retention process.