Publications
2023
Scholarly publications
Dinnissen, K., & Bauer, C. (2023). Amplifying Artists’ Voices: Item Provider Perspectives on Influence and Fairness of Music Streaming Platforms. In UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (31 ed., pp. 238-249). (UMAP 2023 - Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery . https://doi.org/10.1145/3565472.3592960
Dinnissen, K., & Bauer, C. (2023). How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems. In Proceedings of the 24th International Society for Music Information Retrieval Conference (24 ed.). ISMIR press.
https://dspace.library.uu.nl/bitstream/handle/1874/432127/2023_ISMIR_Dinnissen_Bauer.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/432127/2023_ISMIR_Dinnissen_Bauer.pdf?sequence=1
Dinnissen, K., Saccardi, I., Vredenborg, M., & Bauer, C. (2023). Looking at the FAccTs: Exploring Music Industry Professionals’ Perspectives on Music Streaming Services and Recommendations. In Proceedings of 2nd International Conference of the Greece ACM SIGCHI Chapter, CHIGreece 2023: Proceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter Article 25 (ACM International Conference Proceeding Series). Association for Computing Machinery . https://doi.org/10.1145/3609987.3610011
https://dspace.library.uu.nl/bitstream/handle/1874/436336/3609987.3610011.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/436336/3609987.3610011.pdf?sequence=1
2022
Scholarly publications
Dinnissen, K., & Bauer, C. (2022). A Stakeholder-Centered View on Fairness in Music Recommender Systems. In 5th FAccTRec Workshop on Responsible Recommendation (FAccTRec ’22) https://doi.org/10.48550/arXiv.2209.06126
Dinnissen, K. (2022). Improving Fairness and Transparency for Artists in Music Recommender Systems. 3498-3498. Abstract from 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain. https://doi.org/10.1145/3477495.3531681
Dinnissen, K., & Bauer, C. (2022). Fairness in music recommender systems: a stakeholder-centered mini review. Frontiers in Big Data, 5, 1-9. Article 913608. https://doi.org/10.3389/fdata.2022.913608
2015
Scholarly publications
Dinnissen, K., & Louwerse, M. M. (2015). The Sound of Valence: Phonological Features Predict Word Meaning. Poster session presented at 37th Annual Meeting of the Cognitive Science Society, Pasadena, CA, United States. https://cogsci.mindmodeling.org/2015/papers/0107/paper0107.pdf