States Propose Billions in Tax Relief Despite Economic Uncertainty
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
68% Medium Conservative
- Politician Portrayal
11% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
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 |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
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
Contributing sentiments towards policy:
47% : States raise funds from a different mix of sales, income and severance taxes.43% : The state, where Democratic Gov. Kathy Hochul isn't proposing cutting income taxes, projects it will end its current fiscal year with an $8.7 billion surplus but anticipates slower growth will lead to deficits totaling $22 billion over three years starting in the 2024-25 fiscal year.
29% : Carl Davis, research director for the Institute on Taxation and Economic Policy, a progressive think tank, said states should be cautious about cutting taxes now.
25% : California, whose budget is particularly reliant on income taxes levied on some of its wealthiest residents, experienced budget whiplash after a record $97 billion budget surplus last year dissolved into an estimated $22.5 billion deficit in Democratic Gov. Gavin Newsom 's January spending proposal.
*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.