Senate Budget Vote Leaves Hurdles For Trump Tax Cuts, Debt Limit
- Bias Rating
8% Center
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-30% Negative
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
-8% Negative
- 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:
49% : Congressional Hispanic Conference Chairman Tony Gonzales, a Texas Republican, led seven other conference members in a letter opposing deep cuts to Medicaid, food stamps and Pell Grants.48% : " House Republican leaders are working to corral support for their draft budget plans, with moderates in the party balking at proposals to cut anti-poverty programs and a handful of conservatives pushing for even deeper spending cuts.
38% : Earlier this week, Trump posted that he backed the rival House budget outline.
38% : Despite Trump's backing of the House plan, Senate Majority Leader John Thune of South Dakota and his lieutenants went ahead with all-night votes on their more narrow proposal, arguing that debates over tax policy will take months and funds are urgently needed to stop illegal immigration into the US.
*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.