Artists

Fair Play? Mitigating bias in music recommender systems
Invited talk at the HCI Lecture Series at the University of Salzburg.
Christine Bauer
23 April 2025
Project
Fairness in algorithmic decision-making: The effects of bias mitigation strategies in music recommender systems
Invited talk for the “Forschungsseminar BWL” at the Department of Business at the University of Salzburg.
Christine Bauer
20 November 2024
Project
It's not you, it's me: the impact of choice models and ranking strategies on gender imbalance in music recommendation

As recommender systems are prone to various biases, mitigation approaches are needed to ensure that recommendations are fair to various …

Andres Ferraro, Michael D. Ekstrand, Christine Bauer
PDF Cite Project Poster DOI ACM Author-izer arXiv Material: DOI CORE 2023: A GGS 2021: A
It's not you, it's me: the impact of choice models and ranking strategies on gender imbalance in music recommendation
Breaking feedback loops in recommender systems: an example on mitigating artist gender bias in the music domain
Invited talk at the University of Regensburg.
Christine Bauer
18 December 2023
Project
Breaking feedback loops in recommender systems: an example on mitigating artist gender bias in the music domain
Music recommendation systems from the perspective of artists: what constitutes fairness?
Invited talk at JADS.
Christine Bauer
28 November 2023
Project
Music recommendation systems from the perspective of artists: what constitutes fairness?
How control and transparency for users could improve artist fairness in music recommender systems
As streaming services have become a main channel for music consumption, they significantly impact various stakeholders: users, artists …
Karlijn Dinnissen, Christine Bauer
PDF Cite Project Poster Video DOI Material: DOI GGS 2021: A
How control and transparency for users could improve artist fairness in music recommender systems
Amplifying artists' voices: item provider perspectives on influence and fairness of music streaming platforms
The majority of music consumption nowadays takes place on music streaming platforms. Whichever artists, albums, or songs are exposed to …
Karlijn Dinnissen, Christine Bauer
PDF Cite Project DOI ACM Author-izer Material: DOI CORE 2023: B GGS 2021: B nominated for Best Student Paper Award
Musikempfehlungssysteme aus der Perspektive von Artists: Was ist fair?
Talk at the Symposion Musik & Mathematik.
2 June 2023
Project Program
Musikempfehlungssysteme aus der Perspektive von Artists: Was ist fair?
Karlijn Dinnissen has successfully passed her first-year assessment
Today, Karlijn Dinnissen had the first-year assessment of her PhD, which she—as expected—successfully passed.
9 February 2023 1 min read News
Project
Karlijn Dinnissen has successfully passed her first-year assessment
Fairness—Are algorithms a burden or a solution?
Invited talk at the MediaFutures Seminar at the University of Bergen.
Christine Bauer
21 April 2022
Project Slides Video
Fairness—Are algorithms a burden or a solution?