The algorithmic network imaginary: How music artists understand and experience their algorithmically constructed networks
研究了22位音乐人如何理解Spotify的“粉丝也喜欢”功能构建的关联艺术家网络，通过访谈揭示创作者对算法网络的认知与体验。
In this article we develop the concept of "algorithmic network imaginary" to understand how musicians imagine and relate to the networks of "related artists" they are algorithmically sorted into on Spotify. To address this question, we collected data on the related artist networks of 22 musicians constructed by Spotify's Fans Also Like feature and conducted semi-structured, in-depth interviews with each musician. We used the Qualitative Structural Analysis method for data analysis. Our findings provide insight into what musicians think Fans Also Like is and is for, and reveals how cultural creators understand and experience their algorithmic networks. More broadly, they provide insights into how social actors perceive, understand, and experience their algorithmically constructed peer networks.