Media bias is a topic that cannot be fully understood from just one academic perspective. Therefore, this project leverages advanced statistical methods to study media bias as a target variable, with a special focus on how it changes across different geographical regions and over time. Our main question is: How does media bias vary between regions, and how does it change over time?

For answering this, we build on established spatio-temporal statistical models but also develop our own approaches to capture the complexity of the topic. This involves building and curating high-quality datasets, developing and applying innovative statistical modelling approaches, and analysing and interpreting the results in the context of pressing societal issues.

By bringing in a statistical perspective, we contribute to a broader, interdisciplinary understanding of media bias, a phenomenon that affects us all but has rarely been researched in space and time.