Multi-Bias News Corpus (2026) is a text dataset likely containing news articles annotated for various types of bias. The dataset is hosted on Kaggle, but its specific size, authorship, and collection method are unknown.
Use Cases
- Training models to classify news articles by bias type (inferred from domain, verify after download)
- Benchmarking bias detection algorithms across different media sources (inferred from domain, verify after download)
- Analyzing linguistic patterns associated with different biases (inferred from domain, verify after download)
Limitations
- Metadata is minimal; actual content requires verification after download
- Row count is unknown, which may limit suitability assessment
- Column-level documentation is absent; field semantics must be inferred after download