Creator-friendly Algorithms: Behaviors, Challenges, and Design Opportunities in Algorithmic Platforms

Abstract

In many creator economy platforms, algorithms significantly impact creators' practices and decisions about their creative expression and monetization. Emerging research suggests that the opacity of the algorithm and platform policies often distract creators from their creative endeavors. To study how algorithmic platforms can be more 'creator-friendly,' we conducted a mixed-methods study: interviews (N=14) and a participatory design workshop (N=12) with YouTube creators. Through the interviews, we found how creators' folk theories of the curation algorithm impact their work strategies - whether they choose to work with or against the algorithm - and the associated challenges in the process. In the workshop, creators explored solution ideas to overcome the aforementioned challenges, such as fostering diverse and creative expressions, achieving success as a creator, and motivating creators to continue their job. Based on these findings, we discuss design opportunities for how algorithmic platforms can support and motivate creators to sustain their creative work.