How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World
arXiv:2605.18105v2 Announce Type: replace Abstract: 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 for expediting media-based studies of the dynamics of media attention. To accomplish that, news datasets must be filtered, geolocated and validated. This paper focuses on how landslides around the world are reported in German newspapers. We analyse almost 55k news articles about 4.5k news events in a 25-year period, compare it with external measures of countries' sus
This academic paper aligns with ongoing research in disaster informatics and media studies, reflecting the continuous effort to leverage news data for hazard analysis.
A strategic reader interested in disaster risk management or journalistic bias might find this a minor data point, but it holds limited wider strategic relevance.
This specific research broadens the understanding of how landslides are reported in German news, but it does not fundamentally alter our understanding of AI or broader geopolitical trends.
Improved understanding of media coverage patterns for natural disasters in a specific linguistic context.
Potential for better-informed public awareness campaigns in regions prone to landslides, based on media analysis.
Enhanced disaster preparedness or early warning systems indirectly benefiting from more comprehensive data sources derived from news.
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