Scrutinizing food stamp rolls will ensure the truly needy get benefits
- Bias Rating
- Reliability
65% ReliableAverage
- Policy Leaning
96% Very Right
- Politician Portrayal
-21% Negative
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Bias 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
-29% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
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Conservative
Contributing sentiments towards policy:
60% : That's especially true when it comes to open-ended entitlement programs such as the Supplemental Nutrition Assistance Program.43% : As America's welfare state has ballooned to more than 80 major federal programs, they've become a target-rich environment for alleged scam artists like those in Minneapolis.
42% : Fourteen of the state's Medicaid programs, which received $18 billion in federal funds since 2018, have been flagged for "significant fraud problems."
41% : Social safety nets crumble when most taxpayers feel like welfare money goes to undeserving people.
40% : The left claims Trump wants Americans to go hungry, but if an individual shouldn't be eligible for food stamps in the first place, where's the cruelty in making sure benefits go to someone who is? From Massachusetts to Minnesota, states clearly need to do better jobs of vetting welfare beneficiaries.
35% : But why were these welfare programs so at risk of being defrauded in the first place?
35% : Too bad that too many progressive leaders are lackadaisical at best about cracking down on fraud and errors, lest it curtail social services.
31% : The tax bill passed in July requires states with an error rate over 6 percent to pay for up to 15 percent of the costs of benefits come 2028.
30% : Across the country, Medicaid lost an estimated $31 billion this way in fiscal year 2024.
*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.