Supreme Court decides the fate of millions of student loan borrowers

  • Bias Rating

    -12% Somewhat Liberal

  • Reliability

    35% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -56% Negative

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

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Bias Meter

Contributing sentiments towards policy:

52% : Millions of student loan borrowers have been waiting to find out whether the Biden Administration's plan to forgive some federal student debt will provide them with financial relief.
52% : They argued that the Covid pandemic qualified as a national emergency, which was the same justification Trump Administration officials used when they paused student loan repayments in 2020.
51% : Student loan payments have been on pause since March 2020 and are scheduled to resume October 1.
50% : The court considered two cases at the same time, U.S. Department of Education v. Brown, which was brought by two student loan borrowers who didn't qualify for relief, and Biden v. Nebraska, which was brought by six Republican attorneys general who argued the plan would hurt state tax revenue and the income of a student-loan agency.
49% : The Biden Administration cited the Higher Education Relief Opportunities for Students Act passed in 2003 (also known as the HEROES Act), which allows the government to forgive student loans for borrowers who are at risk of default because of war, military operation, or national emergency.
48% : The Hechinger Report has also reported extensively on the hidden forms of student debt that keep students in financial peril.
40% : Low-income students and Black borrowers - especially Black women - have been disproportionately affected by student loan 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.

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