News Articles with 12 Quality Factor Scores

Aggregating over 80 English news articles, each scored on 12 quality factors and assigned a single rank. The articles were manually annotated by Alex using a 12-factor score card. The data includes URL, title, and body text for each article.

Use Cases

• Train a multi-class classification model to predict the assigned rank from the 12 quality factor scores.
• Analyze correlations between the 12 quality factor scores and article characteristics like title or body text.
• Build a text classifier using the body text to predict one or more of the 12 quality factor scores.

Strengths

• Over 80 manually annotated news articles provide a basis for analysis.
• Each article is scored on 12 distinct quality factors, offering multiple analytical dimensions.
• Articles include URL, title, and body text, providing structured content for NLP tasks.

Limitations

• The small sample size of 80+ articles limits statistical power and model generalizability.
• The dataset's geographic and temporal coverage is unknown, which may introduce bias.
• Specific column names and data structure are not documented, complicating direct usage.

Provenance

Source

News articles scraped using news-please.

Collection Method

Manual annotation by Alex on a 12-factor score card.

Time Range

null

Freshness

null

Geography

null