get_source_bias
Analyze news source bias by retrieving comprehensive metrics including political leaning scores, emotionality ratings, signature phrases, and comparison with similar outlets.
Instructions
Get comprehensive bias analysis for a news source.
Returns:
- source_name, slug_name, page_url
- articles_analyzed: total articles in the bias database for this source
- avg_social_shares: average social shares per article
- emotionality_score (0-10): how emotional the writing is
- prescriptiveness_score (0-10): how much the source tells readers what to think/do
- bias_scores: dict of all measured bias dimensions with scores (-50 to +50 for bipolar,
0 to +50 for unipolar). WARNING: this endpoint returns emoji-prefixed display keys
(e.g. '🔵 Liberal <—> Conservative 🔴') rather than the plain-text keys used by
get_bias_from_url, get_all_source_biases, and search_news (e.g. 'liberal conservative bias').
Do not attempt to cross-reference bias_scores keys here with bias_values keys from other endpoints.
- bias_description: AI-generated overall bias summary narrative
- liberal_conservative_description: narrative on political leaning
- libertarian_authoritarian_description: narrative on authority stance
- signature_phrases: words/phrases uniquely overrepresented vs other sources
- signature_negative_phrases: uniquely negative/alarming phrases
- most_shared_phrases: phrases in their most viral articles
- most_emotional_phrases: phrases used in their most emotional articles
- pays_for_traffic_keywords: keywords this source buys ads for
- similar_sources: sources with the most similar bias profile
- most_different_sources: sources with the most different bias profile
- trends_graph_url: URL to a chart of this source's coverage volume over time
- bias_plot_urls: dict of 2D bias scatter plot image URLs (political_lib_auth, subjective_objective, informative_opinion, oversimplification_factful) — only present when available
- recent_articles: list of most recent articles with full article fields and per-article bias_values
Throws an error if the source is not found.
Args:
source: Source name (e.g. 'Fox News', 'CNN', 'Reuters') or domain (e.g. 'foxnews.com').
Slug-style input (e.g. 'fox-news') is NOT supported — use full name or domain only.
recent_articles: Number of recent articles to include (1-50, default 10).Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| source | Yes | ||
| recent_articles | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |