Biden Just Ended Two Student Loan Forgiveness Plans For 30 Million People -- Here's Why
- Bias Rating
26% Somewhat Conservative
- Reliability
40% ReliableFair
- Policy Leaning
22% Somewhat Conservative
- Politician Portrayal
-9% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
23% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
47% : Some advocacy groups are also calling on the administration to unilaterally cancel student loan debt for older borrowers before Biden leaves office.43% : The two loan forgiveness plans would have created pathways to student debt relief for broad swaths of student loan borrowers, including those who have experienced runaway balance growth due to interest accrual, and people who are dealing with significant personal or financial hardships.
32% : And it may force a Trump-led Education Department to start from scratch if Trump officials want to create new student loan-related regulations, which can be a lengthy and tedious process that can ultimately be subject to legal challenges (as the Biden administration has experienced).
*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.