News Metadata Dataset (7K) is a metadata-only collection from Kaggle containing structural, bias, and narrative signals for news content. The dataset's author, organization, and specific source are unknown. The last update date is also unknown.
Use Cases
- Classifying media bias based on the bias signals mentioned in the description
- Analyzing narrative structures and framing in news content based on narrative signals
- Studying the relationship between structural metadata and content bias
- Training models to detect specific narrative patterns in news articles
Strengths
- Dataset focuses on three specific signal types: structural, bias, and narrative, as stated in the description.
- The title indicates a collection of approximately 7,000 entries.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- null
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- null