# The Newsworthiness of Brazilian Distress: A Peak Analysis on Time Series of International Media Attention to Disasters in Brazil

arXiv: https://arxiv.org/abs/2605.04552 · HTML: https://mlsanity.com/paper/2605.04552/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 33 references that are in the map.
- First posted on arXiv 6 May 2026.

## Builds on (most cited first, 3 of 3)

- [ValiText -- a unified validation framework for computational text-based measures of social constructs](https://mlsanity.com/paper/2307.02863/) (2023)
- [Geolocating News about Extreme Climate Events: A Comparative Analysis of Off-the-Shelf Tools for Toponym Identification in German](https://mlsanity.com/paper/2605.03414/) (2026)
- [Retrieving Floods without Floodlights: Topic Models as Binary Classifiers for Extreme Climate Events in German News](https://mlsanity.com/paper/2605.03450/) (2026)

## Built on by (most cited first, 1 of 1)

- [How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World](https://mlsanity.com/paper/2605.18105/) (2026)

## Abstract (arXiv)

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.