Synthesizes practices, challenges, and recommendations for text-as-data methods to assess socio-economic climate impacts.
Global Risks Report 2025
2 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Off-the-shelf German NER tools produce divergent toponym sets that lead to distinct country assignments for climate event news, affecting assessments of national prominence in media coverage.
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Assessing socio-economic climate impacts from text data
Synthesizes practices, challenges, and recommendations for text-as-data methods to assess socio-economic climate impacts.
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Geolocating News about Extreme Climate Events: A Comparative Analysis of Off-the-Shelf Tools for Toponym Identification in German
Off-the-shelf German NER tools produce divergent toponym sets that lead to distinct country assignments for climate event news, affecting assessments of national prominence in media coverage.