Texas could see $7 billion GDP hit under Medicaid, SNAP cuts
- Bias Rating
10% Center
- Reliability
40% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
N/A
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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
-28% Negative
- Liberal
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
53% : Driving the news: The House of Representatives' latest budget resolution calls for more than $1 trillion in combined cuts to programs overseen by the House commerce and agriculture committees, which include Medicaid and the Supplemental Nutrition Assistance Program (SNAP).48% : What they did: Meanwhile, a new analysis from the Commonwealth Fund and the George Washington University Milken Institute School of Public Health seeks to estimate the economic consequences of major Medicaid and SNAP cuts.
35% : What they found: If those cuts take effect, researchers estimate that in 2026 Texas would lose: Caveat: Any actual cuts to Medicaid and SNAP could wind up being smaller.
24% : What's next: Although Republicans, who control the White House and both houses of Congress, are eager to reduce federal spending, cutting widely used entitlement programs like Medicaid has long been considered political suicide.
*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.