Search papers, labs, and topics across Lattice.
This paper investigates the drivers of international media attention to disasters in Brazil by analyzing a dataset of 2,000 German newspaper articles about Brazilian fires and landslides from 2000-2024. Time series segmentation is used to identify peaks in news coverage, which are then compared to national and global disaster databases. The study finds that international media attention is not always aligned with the severity or frequency of disasters recorded in these databases, suggesting other factors influence newsworthiness.
International media attention to Brazilian disasters doesn't always reflect the actual severity or frequency of events, revealing a disconnect between disaster databases and news cycles.
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 its natural and technological disasters occasionally hit the international headlines. However, systematic analyses of what makes these events be discussed abroad are still missing. Addressing this gap requires representative, validated and country-specific news datasets. This paper presents a peak analysis of 2k news about Brazilian fires and landslides in German newspapers from 2000 to 2024. Using time series segmentation to detect news event peaks, we examine the extent to which they can be temporally aligned with observations in national and global disaster databases.
