Short biography
Isabella is a Ph.D. student in Statistics at the Georg-August University in Göttingen. She cooperation with the Media Bias Research Group and the National Institute of Informatics in Tokyo. Her main interests are the spatio-temporal distribution of Media Bias and its related concepts. With a background in mathematics and through the lens of statistics, we contribute to a deeper, interdisciplinary understanding of Media Bias in terms of its spatial and temporal dimensions.
Projects
- Benchmark Methodology for Spatio-Temporal Modeling of Gender Bias in Western News Articles
- Data Quality Assessment for Synthetic-Annotated Training Datasets for Media Bias Classifier
- Spatio-Temporal Deep Learning Methods for Analyzing Coverage Bias
Contact
i.habereder@media-bias-research.org
References
2026
Position: Peer Review Demands AI-Human Mutual Supervision Proceedings Article
In: International Conference on Machine Learning (ICML) [in review], pp. 41, PMLR, Seoul, South Korea, 2026.
2025
A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications Miscellaneous
arXiv (preprint), 2025.