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How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems

Authors: Karlijn Dinnissen; Christine Bauer 0001;

How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems

Abstract

As streaming services have become a main channel for music consumption, they significantly impact various stakeholders: users, artists who provide music, and other professionals working in the music industry. Therefore, it is essential to consider all stakeholders' goals and values when developing and evaluating the music recommender systems integrated into these services. One vital goal is treating artists fairly, thereby giving them a fair chance to have their music recommended and listened to, and subsequently building a fan base. Such artist fairness is often assumed to have a trade-off with user goals such as satisfaction. Using insights from two studies, this work shows the opposite: some goals from different stakeholders are complementary. Our first study, in which we interview music artists, demonstrates that they often see increased transparency and control for users as a means to also improve artist fairness. We expand with a second study asking other music industry professionals about these topics using a questionnaire. Its results indicate that transparency towards users is highly valued and should be increased.

Country
Netherlands
Keywords

music recommendation, transparency, music artists, fairness, music industry professoinals, recommender systems, control

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green