I analyzed a combination of user interviews and their donated streaming histories and found three listening modes. These suggest that users are not only guided by algorithmic recommendations or habits but reflexively choose music based on their emotions, contexts, and goals.
New article in @BigDataSoc! Here I explore how users reflect on and decide what to listen to when using Spotify. I developed a framework for understanding reflexive decision-making in the context of music streaming from a critical realist perspective. https://t.co/MOHnkeqcMl
New publication! In this article, @jessixarobinson and I use qualitative interviews, donated digital trace data, and data from Spotify’s API to compare “real” user-generated Christmas playlists with “artificial” playlists created by Spotify’s algorithms. https://t.co/2UGjMJkpa4
We found that while users show more eclecticism in their tastes—and even subversion of the Christmas genre—Spotify playlists, while traditional, also promote Norwegian-language music.
An article from my dissertation (defended last May!) is out now @Convergence_NMT ! In this paper I discuss how Spotify users practice reflexivity when interpreting algorithmic recommendations and deciding what to listen to. https://t.co/7OjpF1vtXk
After cancelled flights and long train rides, I made it just in time to Aarhus for my first ECREA #ECREA2022 Looking forward to meeting old and new friends in the next few days!
How do Latin American artists make sense of platforms & algorithms? In this paper out today in @JCultEcon we examine artists’ approaches to playlisting in Mexico and Costa Rica. Co-authored with an incredible team: @amyross87, @risolisq80 & Moni Sancho. ✨https://t.co/apqWQJRl3e