3 papers
cs.CL2026
How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World
Brielen Madureira, Andreas Niekler, Marc Keuschnigg +1
Landslides often hit newsstands due to their destructive and potentially fatal effects. News are a valuable source of information for creating or enriching disaster databases and f…
cs.CL2026
Retrieving Floods without Floodlights: Topic Models as Binary Classifiers for Extreme Climate Events in German News
Brielen Madureira, Mariana Madruga de Brito, Andreas Niekler
In studies of media coverage of extreme climate events, NLP methods have become indispensable for identifying relevant texts in large news databases. Still, enough annotated data t…
cs.CL2026
Geolocating News about Extreme Climate Events: A Comparative Analysis of Off-the-Shelf Tools for Toponym Identification in German
Brielen Madureira, Mariana Madruga de Brito, Andreas Niekler
Determining the geolocation of extreme climate events and disasters in texts is a common problem in climate impact and adaptation research. Named-entity recognition (NER) tools are…