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  Neural topic modeling reveals German television’s climate change coverage

Schirmag, T., Wedemeyer, J., Stechemesser, A., Wenz, L. (in press): Neural topic modeling reveals German television’s climate change coverage. - Communications Earth and Environment.

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_32306 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_32306_1
Genre: Journal Article

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https://zenodo.org/records/15333784 (Supplementary material)
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 Creators:
Schirmag, Tatjana1, Author              
Wedemeyer, Jakob1, Author              
Stechemesser, Annika1, Author              
Wenz, Leonie1, 2, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2Submitting Corresponding Author, Potsdam Institute for Climate Impact Research, ou_29970              

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Language(s): eng - English
 Dates: 2025-05-19
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: MDB-ID: No MDB - stored outside PIK (see locators/paper)
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: Lab - Societal Transition and Well-being
Organisational keyword: Lab - Policy Evaluation
Research topic keyword: Climate Policy
Research topic keyword: Climate impacts
Regional keyword: Germany
Model / method: Machine Learning
OATYPE: Gold - DEAL Springer Nature
 Degree: -

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Title: Communications Earth and Environment
Source Genre: Journal, SCI, Scopus, oa
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/communications-earth-environment
Publisher: Nature