News Articles Scored on Twelve Factors

Over 100 English-language news article URLs, each manually scored on 12 different factors and assigned a single overall score. The data was manually scraped and annotated by an individual named Alex.

Use Cases

• Analyze the correlation between the 12 individual factor scores and the assigned single overall score.
• Train a model to predict the single overall score for a news article based on its 12 factor scores.
• Identify patterns in the 12 factor scores across different news article URLs to understand scoring criteria.

Strengths

• Contains over 100 manually annotated news article records.
• Each article is evaluated on 12 distinct scoring factors.
• Dataset is monolingual, with all text in English.

Limitations

• Small sample size of approximately 100 rows limits statistical power and generalizability.
• Column names and specific scoring factors are unknown, hindering detailed analysis.
• Data provenance is limited to a single annotator, which may introduce individual bias.

Provenance

Source

Manually scraped and annotated by Alex.

Collection Method

Manual scraping and annotation.

Time Range

null

Freshness

null

Geography

null