| Fairness in music recommender systems: A stakeholder-centered mini review K Dinnissen, C Bauer Frontiers in big Data 5, 913608, 2022 | 23 | 2022 |
| Amplifying artists’ voices: Item provider perspectives on influence and fairness of music streaming platforms K Dinnissen, C Bauer Proceedings of the 31st ACM Conference on User Modeling, Adaptation and …, 2023 | 10 | 2023 |
| Improving Fairness and Transparency for Artists in Music Recommender Systems K Dinnissen Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 4 | 2022 |
| The sound of valence: Phonological features predict word meaning K Dinnissen, MM Louwerse Proceedings of the Annual Meeting of the Cognitive Science Society 37, 2015 | 3 | 2015 |
| Looking at the FAccTs: Exploring Music Industry Professionals' Perspectives on Music Streaming Services and Recommendations K Dinnissen, I Saccardi, M Vredenborg, C Bauer Proceedings of the 2nd International Conference of the ACM Greek SIGCHI …, 2023 | 2 | 2023 |
| A Stakeholder-Centered View on Fairness in Music Recommender Systems K Dinnissen, C Bauer arXiv preprint arXiv:2209.06126, 2022 | 1 | 2022 |
| How Control and Transparency for Users Could Improve Artist Fairness in Music Recommender Systems. K Dinnissen, C Bauer ISMIR, 482-491, 2023 | | 2023 |
| FAccTRec 2023: The 6th Workshop on Responsible Recommendation M Ekstrand, J Garcia-Gathright, N Sonboli, A Raj, K Dinnissen Proceedings of the 17th ACM Conference on Recommender Systems, 1267-1268, 2023 | | 2023 |
