
Supreme Court strikes down student loan forgiveness program: Impacts and what comes next
- Bias Rating
-12% Somewhat Liberal
- Reliability
70% ReliableGood
- Policy Leaning
-10% Center
- Politician Portrayal
-62% 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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Contributing sentiments towards policy:
67% : As student loan repayments are set to resume soon, it's essential to start preparing.59% : "Student loan interest will resume starting on Sept. 1st and payments will be due starting in October."
57% : "It has a very strong impact on not only your physical but your mental well-being," said Rogers, who owes over $50,000 in student loans.
53% : This ruling comes as student loan repayments are set to start in the fall.
50% : In light of the ruling, the Department of Education has announced some steps that could help ease the burden for student loan borrowers.
48% : The Consumer Financial Protection Bureau issued a warning that approximately one in five student loan borrowers may find it challenging to meet their obligations once payments resume in the fall.
47% : "So, working two jobs between being a teacher and DoorDashing and being involved in my community to promote civic empowerment, you know, that could be very straining, especially when you're trying to handle your financial business with student debt."
*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.