Understanding Fans' Attitudes Toward AI-generated Fan Content About Their Favorite Musician

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In online fan communities, generative AI is providing new ways for fans to engage with and produce fan content related to their favorite celebrities. In this study, we examined how people feel about AI-generated fan art and AI-generated music covers of their favorite musical artists. Through an online survey (N=200) we explored how parasocial relationships with their favorite musicians and self-determination factors of autonomy, competence, and relatedness were associated with attitudes towards AI-generated fan content. Parasocial relationships were positively associated, but when these intrinsic values were taken into consideration, participants' sense of choice in controlling what they see on social media was the only factor that explained favorable sentiments towards AI-generated fan content.

Original languageEnglish (US)
Title of host publicationIMX 2025 - Proceedings of the 2025 ACM International Conference on Interactive Media Experiences
PublisherAssociation for Computing Machinery, Inc
Pages220-229
Number of pages10
ISBN (Electronic)9798400713910
DOIs
StatePublished - May 31 2025
Event2025 ACM International Conference on Interactive Media Experiences, IMX 2025 - Niteroi, Brazil
Duration: Jun 3 2025Jun 6 2025

Publication series

NameIMX 2025 - Proceedings of the 2025 ACM International Conference on Interactive Media Experiences

Conference

Conference2025 ACM International Conference on Interactive Media Experiences, IMX 2025
Country/TerritoryBrazil
CityNiteroi
Period6/3/256/6/25

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

Keywords

  • AI-generated art
  • AI-generated content
  • Fan art
  • Fan communities
  • Fandom
  • Fans
  • Generative AI
  • Music covers
  • Parasocial Relationships
  • Self Determination Theory

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