7 papers
The Course of News Events: A Comparison of Bottom-Up and Top-Down Approaches for Collecting Text-Based Data about Disasters
Brielen Madureira, Andreas Niekler, Mariana Madruga de Brito
News articles are an important source of information on disaster impacts and adaptation. A key methodological challenge in socio-environmental studies is how to select a representa…
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…
Assessing socio-economic climate impacts from text data
Mariana Madruga de Brito, Brielen Madureira, TaÃs Maria Nunes Carvalho +15
Recent advances in natural language processing (NLP) and large language models (LLMs) have enabled the systematic use of large-scale textual data from news, social media, and repor…
The Newsworthiness of Brazilian Distress: A Peak Analysis on Time Series of International Media Attention to Disasters in Brazil
Brielen Madureira, Andreas Niekler, Marc Keuschnigg +1
Media coverage influences disaster response, yet the drivers of international media attention to local events remain unevenly understood. Brazil offers a compelling case: some of i…
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…
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…