How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World
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Computer Science > Computation and Language
Title:How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World
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 60k news articles about 5.5k news events in a 25-year period, compare it with external measures of countries' susceptibility to landslides and provide insights, e.g.~the overreporting of Southern and Western Europe, to foment further studies on inequalities in media attention to international disasters.
| Comments: | Work in progress |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2605.18105 [cs.CL] |
| (or arXiv:2605.18105v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2605.18105
arXiv-issued DOI via DataCite (pending registration)
|
Submission history
From: Brielen Madureira [view email][v1] Mon, 18 May 2026 09:17:05 UTC (1,229 KB)
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