The Role of Fairness and Diversity in User Choices and Perceptions of Music Playlists
Publication date
2025-09-15
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Abstract
Nowadays, most listeners access music through streaming platforms, which has transformed how recommendations are delivered and received. Notable work has been done on improving fairness for end users or item providers in music recommender systems, often applying pre-processing and re-ranking approaches. However, the positive influence users may exert on fairness through their music selection has not been sufficiently studied. This paper explores whether providing users with insights into the fairness and diversity of recommendations could lead to fairer music selections. To this aim, we conducted a qualitative study with 18 participants involving a think-aloud playlist task and in-depth interviews. The results indicate that while music taste was the deciding factor in participants’ choices, insights into fairness did help them reflect on their selections. Our study shows that participants’ playlist choices at times conflict with their expressed fairness values, highlighting the need to support users in aligning decisions with their values.
Keywords
Fairness, Human-Centered Computing, Interviews, Music Recommender Systems, Think-aloud Study, Transparency, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Software
Citation
Dinnissen, K, Khan, S N, Hauptmann, H, Herder, E & Masthoff, J 2025, The Role of Fairness and Diversity in User Choices and Perceptions of Music Playlists. in ACM HT 2025 - Proceedings of the 36th Conference on Hypertext and Social Media. ACM HT 2025 - Proceedings of the 36th Conference on Hypertext and Social Media, Association for Computing Machinery, pp. 48-57, 36th Conference on Hypertext and Social Media, ACM HT 2025, Chicago, United States, 15/09/25. https://doi.org/10.1145/3720553.3746671, conference