Music

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?
Many talks last week
I had a busy week with talks. Great that we have not the opportunity for online talks to connect across continents.
9 April 2022 1 min read News
Many talks last week
Context matters: An example of country context in music recommender systems
Invited talk at the Department of Computer Science at the Universität Innsbruck.
Christine Bauer
7 April 2022
Project
Context matters: An example of country context in music recommender systems
What is fair? The artists' perspective on music recommenders
Invited talk at the Music and Audio Research lab—a research school within New York University.
Christine Bauer
6 April 2022
Project
What is fair? The artists' perspective on music recommenders
Keynote: Celebrating an engaged music community and breaking the bias
Keynote at Codarts Rotterdam—International Women’s Day 2022.
Christine Bauer
8 March 2022
Project Program
Keynote: Celebrating an engaged music community and breaking the bias
FairRecKit
FairRecKit is a web-based analysis software that supports researchers in performing, analyzing, and understanding recommendation computations. The idea behind FairRecKit is to facilitate the in-depth analysis of recommendation outcomes considering fairness aspects. With (nested) filters on user or item attributes, metrics can easily be compared across user and item subgroups.
Video Code FairRecKit
FairRecKit
Muziek en Algoritmes (Music and algorithms)
Panel discussion with Wilbert Mutsaers (Spotify) on Music and Algorithms at IMPAKT TV, co-located with Dutch Media Week 2021.
Christine Bauer, Wilbert Mutsaers, Rosa Wevers, Friso Wiersum
7 October 2021
Project Video
Muziek en Algoritmes (Music and algorithms)
Recent media presence

I am very happy that our CHIIR paper Break the Loop: Gender Imbalance in Music Recommenders with Andrés Ferraro and Xavier Serra received a lot of media attention.

It will take a while until I can integrate all the media articles (that I am aware of) in my website.
Here some links (articles in various languages):

3 May 2021 1 min read News
Break the loop: gender imbalance in music recommenders
As recommender systems play an important role in everyday life, there is an increasing pressure that such systems are fair. Besides …
Andres Ferraro, Xavier Serra, Christine Bauer
PDF Cite Project DOI ACM Author-izer Code Material: DOI
Summary of ISMIR 2020 Special Session Do we help artists? published in SIGIR Forum

I am glad that my summary of the ISMIR 2020 special session: ‘‘How do we—in MIR research—help artists? Do we?’’ made it to the December 2020 issue of the ACM SIGIR Forum.

6 January 2021 1 min read News