Norwegian NewsTopics (2023): Topic Distribution of Articles from 22 Outlets

NorwegianNewsTopics is a tabular dataset containing metadata and topic distributions for online news articles published in 2023. It includes articles from 22 Norwegian news outlets, with topic outputs derived from a 28-topic Latent Dirichlet Allocation model. The dataset was created by Steen Steensen to analyze topic diversity in journalism and enable comparisons across editorial types and platforms.

Use Cases

• Analyze topic diversity and editorial focus across different news outlets based on the described metadata.
• Compare topic distributions between editorial types and distribution platforms as mentioned in the description.
• Benchmark or train topic modeling algorithms using a pre-processed corpus of Norwegian news articles.
• Study temporal trends in Norwegian media coverage throughout 2023 based on publication dates.

Strengths

• Covers articles from 22 distinct Norwegian news outlets, providing a multi-source perspective.
• Includes outputs from a structured 28-topic Latent Dirichlet Allocation model.
• Focuses on a specific and recent time period (articles published in 2023).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale tasks.
• The dataset may reflect the geographic and linguistic bias inherent to its source, focusing solely on Norwegian outlets.

Provenance

Source

DataverseNO Harvested Dataverse

Collection Method

Constructed from online news articles published by 22 Norwegian outlets, processed with an LDA topic model.

Time Range

2023

Freshness

Last updated 2026-04-21 02:26:24; freshness should be verified.

Geography

Norway