NorwegianNewsTopics (2023): Topic Modeling of Norwegian News

Version 1.0
Steen Steensen, 2026, "NorwegianNewsTopics (2023): Topic Modeling of Norwegian News", https://doi.org/10.18710/473JEF, DataverseNO, V1
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Description
NorwegianNewsTopics is a tabular dataset containing metadata and topic distribution of online news articles published in 2023 by 22 Norwegian news outlets. Each row represents one article and includes publication metadata and topic model outputs derived from a 28-topic Latent Dirichlet Allocation (LDA) model. The dataset was constructed to analyse topic diversity in Norwegian journalism and to enable comparisons across editorial types and distribution platforms. (2026-02-23)
Subject Computer and Information Science; Social Sciences
Keyword Topic modeling, Journalism, News diversity, Platformisation, Social media
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0_README.txt
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1_NorwegianNewsTopics.csv
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Metadata and topic distribution of 224905 news articles published by 22 Norwegian newsrooms in 2023
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2_NorwegianNewsTopics_variable_dictionary.csv
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Definitions of variables in NorwegianNewsTopics.csv
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3_NorwegianNewsTopics_topic_dictionary.csv
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Definitions of topic variables in NorwegianNewsTopics.csv
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4_Methods_LDA_and_SoMe_matching.pdf
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Detailed methodological description of LDA topic modeling and social media matching
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