Supremes reject $430B in student loan forgiveness
- Bias Rating
-20% Somewhat Liberal
- Reliability
80% ReliableGood
- Policy Leaning
-36% Somewhat Liberal
- Politician Portrayal
-27% Negative
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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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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-100%
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Contributing sentiments towards policy:
63% : In relaxing its underwriting requirements for student loan borrowers enrolled in IDR plans at the outset of the pandemic, the FHA estimated that more than 80 percent of the mortgages it insures are taken out by first-time homebuyers and 45 percent of those borrowers also have student loan debt.59% : The Department of Education's office of Federal Student Aid offers a number of student loan repayment plans, including income-driven repayment (IDR) plans that allow borrowers to limit their monthly student payments equal to no more than 10 to 15 percent of their disposable incomes.
54% : For student loan borrowers who are enrolled in an IDR plan and looking to qualify for a mortgage, the impact of their student loans payments on DTI depends on what type of loan they're seeking.
52% : Law school, medical school and other graduate degree holders who often graduate with more than $100,000 in student loan debt may qualify to have much of it forgiven.
44% : So the money that student loan borrowers might have socked away for a down payment on a house will now go to the government instead.
34% : The demise of the Biden administration's plan to forgive roughly $430 billion in student loan debt could make it harder for millions of would-be homebuyers to save up for a down payment and qualify for a mortgage.
*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.