The 'Year Two' Curse
- Bias Rating
-98% Very Liberal
- Reliability
N/AN/A
- Policy Leaning
-4% Center
- Politician Portrayal
-41% Negative
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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
N/A
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Liberal
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Center
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
51% : Many campaign aides and operatives at the Democratic House and Senate campaign committees are eagerly anticipating that if the party reaches agreement on its big economic proposals, candidates next year can run on the trinity of creating jobs (through the infrastructure bill), bolstering families (mostly by extending the Child Tax Credit) and reducing health-care costs (through increasing federal subsidies under the Affordable Care Act and authorizing Medicare to negotiate for lower prescription drug prices).49% : (That dynamic was a particular problem for Democrats with the Affordable Care Act in 2010.)
46% : The losses were even greater in 2010 after Barack Obama passed his stimulus plan, expansive financial-reform legislation, and, above all, the Affordable Care Act, extending health insurance to more of the uninsured than any other federal initiative had since Medicare and Medicaid.
*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.