New York Post Article Rating- Bias Rating
98% Extremely Conservative
- Reliability
N/AN/A
- Policy Leaning
32% Moderately Conservative
- Politician Portrayal
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-100%
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100%
Conservative
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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
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
| "Coecticut law has a provision allowing the removal of any interest and fees from taxes if authorities determine that the delinquency is attributable to an error by the tax assessor or tax collector and is not the result of any action or failure on the part of the taxpayer." | Negative | -32% Liberal |
| "Biden would roll back borrowers' maximum monthly payment on undergrad loans to just 5" | Positive | 6% Conservative |
| "Alas, Biden's plan barely pays lip service to this idea: Colleges have [a moral] obligation to keep prices reasonable and ensure borrowers get value for their investments is all the White House says." | Negative | -8% Liberal |
| "And even those earning more than $50,000 right after graduating would face trivial payments -- barely denting the principal before Biden sticks taxpayers with the bill." | Negative | -18% Liberal |
| "President Joe Biden's plan to instantly write off up to $20,000 in individual loans is bad enough, costing the taxpayers north of $300 billion -- but the rest of his idea is even worse: He wants to the public to eat most all future student debt, too." | Negative | -32% Liberal |
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Center
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-100%
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Contributing sentiments towards policy:
34% : Connecticut law has a provision allowing the removal of any interest and fees from taxes if authorities "determine that the delinquency is attributable to an error by the tax assessor or tax collector and is not the result of any action or failure on the part of the taxpayer."*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.