Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics

Blake Huebner, Thomas Elmar Kolb, Julia Neidhardt. Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics. In Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2024, Cagliari, Italy, July 1-4, 2024. ACM, 2024. [doi]

@inproceedings{HuebnerKN24,
  title = {Evaluating Group Fairness in News Recommendations: A Comparative Study of Algorithms and Metrics},
  author = {Blake Huebner and Thomas Elmar Kolb and Julia Neidhardt},
  year = {2024},
  doi = {10.1145/3631700.3664897},
  url = {https://doi.org/10.1145/3631700.3664897},
  researchr = {https://researchr.org/publication/HuebnerKN24},
  cites = {0},
  citedby = {0},
  booktitle = {Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2024, Cagliari, Italy, July 1-4, 2024},
  publisher = {ACM},
}