Press
- 1 July 2021, Equality, Diversity & Inclusion, Utrecht University, Music recommenders show a strong gender bias.
- Media articles on the following publication:
Ferraro, Andrés, Serra, Xavier & Bauer, Christine (2021). Break the Loop: Gender Imbalance in Music Recommenders. Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2021), Online, 14-19 March, ACM, pp 249-254. DOI: 10.1145/3406522.3446033
[pdf], Data:
, Code: https://github.com/andrebola/gender-recs
[poster]Break the Loop: Gender Imbalance in Music Recommenders
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short-paper
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
serving diverse groups of users, recommenders
need to represent and serve item providers
fairly as well. In interviews …
- 21 July 2021, Christoph Drösser on ada Magazin. Falsche Freunde (in German).
- 9 July 2021, Roel van der Heijden on NEMO Kennislink. De dj is een algoritme: Hoe Spotify steeds jouw favoriete nummer vindt (in Dutch).
- 2 July 2021, Raquel Carneiro & Amanda Capuano on Veja. Algoritmos: a inteligência artificial já chegou – e dominou nossas vidas (in Portuguese).
- 13 May 2021, Elouise Hobbs on The Indiependent. Breaking The Algorithm To Fix Music’s Gender Divide.
- 6 May 2021, Guilherme Ravache on UOL. Algoritmo do Spotify privilegia músicos homens, diz pesquisa (in Portuguese).
- 3 May 2021, Katia Dansoko Touré on Libération. Le streaming musical préfère les mecs (in French).
- 29 April 2021, Clément Arbrun on Terrafemina. Voilà pourquoi vous entendez peu de chanteuses sur les plateformes de streaming (in French).
- 28 April 2021, Juliette Thévenot on Slate.fr. Les algorithmes des plateformes de streaming musical mettraient plus en avant les artistes masculins (in French).
- 27 April 2021, Yann Contegat on Daily Geek Show. Les algorithmes musicaux recommandent beaucoup moins d’artistes féminines, selon cette étude (in French).
- 24 April 2021, Alberto Iglesias Fraga on El Español. Música y sesgo de género: la inteligencia artificial amplifica la discriminación en el arte (in Spanish).
- 23 April 2021, Technology Networks. Music Recommendation Algorithms May Have Built-In Gender Bias.
- 22 April 2021, Anna Tisora and Èlia Gea on enderrock. El patriarcat també és als algoritmes de recomanació musical (in Spanish).
- 22 April 2021, Devrupa Rakshit on The Swaddle. Female Artists Are Less Likely to Feature in Music App Recommendations, Study Finds.
- 21 April 2021, La República. Un estudi de la UPF troba biaix de gènere en els algoritmes de recomanació musical (in Catalan).
- 21 April 2021, E&T. Music recommendation algorithms show gender bias.
- 21 April 2021, Vishwam Sankaran on The Independent. Music recommendation algorithms increase gender gap by promoting fewer female artists, study suggests.
- 20 April 2021, 4State.news. A study finds gender bias in music recommendation algorithms.
- 17 April 2021, Diari de Barcelona. Un estudi troba biaix de gènere en els algoritmes de recomanació musical (in Catalan).
- 16 April 2021, Diari de Girona. Un estudi troba biaix de gènere en els algoritmes de recomanació musical (in Catalan).
- 16 April 2021, social.cat. Un estudi de la UPF troba biaix de gènere en els algoritmes de recomanació musical (in Catalan).
- 15 April 2021, Computable. El equilibrio de género en sistemas de recomendaciones musicales (in Spanish).
- 15 April 2021, NacióDigital. Els algoritmes de plataformes musicals com Spotify o iTunes són masclistes, segons un estudi de la UPF (in Catalan).
- 15 April 2021, Ibercampus. Hallan sesgo de género en los algoritmos de recomendación musical desde la UPF (in Catalan).
- 14 April 2021, Computable. Algoritmes zangeres-onvriendelijk (in Dutch).
- 13 April 2021, InqPOP! and INQUIRER.net. Study reveals sexist algorithm among music platforms favors male artists.
- 12 April 2021, Fred Jacobs on Jacobs media strategies. Are Music Streaming Algorithms Sexist?.
- 12 April 2021, The Star. Does your playlist only contain tracks by male artistes? Blame the algorithms.
- 11 April 2021, Jean-Yes Alric on Presse-Citron. Streaming musical: ces chercheurs veulent rendre les algorithmes plus équitables (in French).
- 9 April 2021, Katie Strick on Evening Standard. Let’s hear it for the girls: 5 of the hottest female music artists to stream now.
- 9 April 2021, Free Malaysia Today (FMT). Algorithms to blame for male bias in music playlists.
- 8 April 2021, LaDepeche.fr. Votre playlist ne contient que des titres d’artistes masculins? La faute aux algorithmes de recommandation (in French).
- 7 April 2021, Gillian Tett on Financial Times. Not OK, computer: music streaming’s diversity problem.
- 7 April 2021, The Music Network. Streaming services more likely to recommend songs by male musicians [report].
- 6 April 2021, Ilaria Roncone on Giornalettisimo. L’algoritmo che ci suggerisce chi ascoltare in base ai nostri gusti su Spotify è sessista (in Italian).
- 6 April 2021, India Times Post. Streaming music algorithm more likely to play male artists.
- 6 April 2021, Jawad Iqbal on The Times. Music streaming platforms have sexism wired-in.
- 30 March 2021, Christine Bauer & Andrés Ferraro on The Conversation. Music recommendation algorithms exclude female artists, but we can change that.
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- 28 September 2020, LIWEST Blog. Christine Bauer: Musik hören mit System (in German).
- July 2020, LIWEST Kundenmagazin Ausgabe Juli 2020. Musik hören mit System (in German). pp 1, 4-9.
[pdf] [e-paper]
- July/August 2020, Die Burgenländerin. Die 66 Burgenlandänderinnen (in German). pp 8-15.
[e-paper]
- 1 April 2020, Burgenland Mitte. Die ganze Welt schaut auf sie! (in German).
[pdf]
- Media articles on the following publication:
Bauer, Christine & Schedl, Markus (2019). Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems. PLOS ONE, 14(6), e0217389. DOI: 10.1371/journal.pone.0217389
[pdf]Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems
- 22 June 2019, Vorarlberger Nachrichten. Länderunterschiede im Musikgeschmack (in German; paywall).
- 21 June 2019, studium.at. Linzer Forscher zeigen große Länderunterschiede im Musikgeschmack auf (in German).
[pdf]
- 21 June 2019, futurezone. Linzer Forscher analysieren Musikgeschmack in verschieden Ländern (in German).
[pdf]
- 21 June 2019, APA. Linzer Forscher zeigen große Länderunterschiede im Musikgeschmack auf (in German).
[pdf]
- 21 June 2019, Wiener Zeitung. Musikgeschmäcker und Watschen (in German).
[pdf]
- 21 June 2019, DER STANDARD. Linzer Forscher zeigen Länderunterschiede im Musikgeschmack auf (in German).
[pdf]
- Media article on the project “Fine-grained Culture-aware Music Recommender Systems“, the Elise Richter excellence grant sponsored by Austrian Science Fund (FWF), Austria:
- 17 March 2018, DER STANDARD. Die Qual der Musikwahl (in German).
[pdf]
- 17 March 2018, DER STANDARD. Die Qual der Musikwahl (in German).
- 13 February 2018, Noisey Austria. Roboter statt Popstars: Was bedeutet künstliche Intelligenz für die Musikwelt?. Interview on music and artificial intelligence (in German)
[pdf]
- Media articles related to the following two publications:
Bauer, Christine, Korunovska, Jana, & Spiekermann, Sarah (2012). On the Value of Information: What Facebook Users Are Willing to Pay. Proceedings of the 20th European Conference on Information Systems (ECIS 2012). Barcelona, Spain, 10-13 June. URL: http://aisel.aisnet.org/ecis2012/197
[pdf]
Spiekermann, Sarah, Korunovska, Jana, & Bauer, Christine (2012). Psychology of Ownership and Asset Defense: Why People Value Their Personal Information Beyond Privacy. Proceedings of the International Conference on Information Systems (ICIS 2012). Orlando, FL, USA, 16-19 December.
CPDP 2013 Multidisciplinary Privacy Research Award (Computers, Privacy & Data Protection CPDP 2013)
[pdf]
- 16 March 2012, futurezone. This is how Austrian Facebook users tick!
[pdf]
- 15 March 2012, futurezone. Futurezone-Facebook-Studie: Den Usern wird fad (in German)
[pdf]
- 14 February 2012, Kurier. WU Wien: Großer Andrang auf Facebook-Studie (in German)
[pdf]
- 13 February 2012, futurezone. WU Wien: Großer Andrang auf Facebook-Studie (in German)
[pdf]
- 16 March 2012, futurezone. This is how Austrian Facebook users tick!
- Media article on the following publication:
Bauer, Christine, Viola, Katharina, & Strauss, Christine (2011). Management Skills for Artists: ‘Learning by Doing’? International Journal of Cultural Policy, 17(5), pp 626-644. DOI: 10.1080/10286632.2010.531716
[pdf]
- 31 October 2011, DER STANDARD. Künstler brauchen mehr Managementwissen (in German)
[pdf]
- 31 October 2011, DER STANDARD. Künstler brauchen mehr Managementwissen (in German)
- Media article on the following event:
What makes a good pop star? 15 minutes of fame on the Internet…?!. ITtalks series. WU Vienna (Vienna University of Economics and Business), Austria, 28 May 2010.- 28 May 2010, Die Presse. Anna F.: “Live spielen ist das Wichtigste” (in German)
Radio
- 29 December 2020, ORF Burgenland Mahlzeit Burgenland, Christine Bauer und Krautfleckerl (in German)
[pdf] download podcast (mp3)
- September – October 2019, Ö1 Radiokolleg – Maschinenmusik on the topic of music and algorithms, and their impact on the music industry (in German). I am among the experts interviewed for this program, with direct quotes in two of the four episodes.
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10 September 2016, SWR2 Mehrspur. Radio reflektiert. Full interview on the topic “personalised radio” (in German). http://www.swr.de/swr2/programm/sendungen/feature/swr2-mehrspur/-/id=659934/did=17507132/nid=659934/sdpgid=1275033/xbzswl/index.html, from 9:50 onwards
User blog
since May 2018, Blog on the online-version of the newspaper DER STANDARD on the topic Music and technology (in German)
Online TV
- Panel discussion on Music and Algorithms hosted by IMPAKT TV in scope of Dutch Media Week 2021, Hilversum, The Netherlands, & online, 7 October 2021.
- Exclusive interview (in German) for LIWEST Kundenmagazin, Ausgabe Juli 2020 ([pdf] [e-paper]). Cooperation of LIWEST und dorf tv. Topic: “Wie wissen Online-Plattformen wie Spotify & Co, welche Musik ihren Nutzern gefällt?” (How do online platforms such as Spotify know what music its users like?). Interviewer: Christian Naderer. Camera and cut: Roland Freinschlag. Online at dorf tv.