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
2025
Habereder, Isabella; Kneib, Thomas; Echizen, Isao; Spinde, Timo
A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications Miscellaneous
2025.
@misc{habereder2025systematicreviewspatiotemporalstatistical,
title = {A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications},
author = {Isabella Habereder and Thomas Kneib and Isao Echizen and Timo Spinde},
url = {https://arxiv.org/abs/2511.00422},
doi = {https://doi.org/10.48550/arXiv.2511.00422},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
