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There's a new national park, but you've probably never heard of its trailblazing namesake
- Bias Rating
-8% Center
- Reliability
85% ReliableGood
- Policy Leaning
-2% Center
- Politician Portrayal
54% Positive
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
25% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Center
-8%
Contributing sentiments towards policy:
56% : "During her 12 years as Secretary of Labor under President Franklin D. Roosevelt, she envisioned and helped create Social Security; helped millions of Americans get back to work during the Great Depression; fought for the right of workers to organize and bargain collectively; and established the minimum wage, overtime pay, prohibitions on child labor, and unemployment insurance," the White House said.54% : "American workers are truly indebted to Frances Perkins, a champion of workers' rights who devoted her life to improving the lives of others," National Park Service Director Chuck Sams said in a press release.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.


Check out this free eBook to learn more about detecting misinformation in the news.