Student loan forgiveness to give millions of Americans a stimulus payment
- Bias Rating
-6% Center
- Reliability
55% ReliableFair
- Policy Leaning
-14% Somewhat Liberal
- Politician Portrayal
-2% 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
25% 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:
58% : "In total, these plans would fully eliminate accrued interest for 23 million borrowers, would cancel the full amount of student debt for over 4 million borrowers, and provide more than 10 million borrowers with at least $5,000 in debt relief or more," a White House statement said.49% : Soon, more than 25 million Americans may soon be receiving a similar gift from the government -- perhaps call it a backdoor stimulus -- in the form of student loan debt forgiveness.Don't miss the move: Subscribe to TheStreet's free daily newsletterThe covid payments were part of broader relief efforts, including increased unemployment benefits and small business loans, with a mission of mitigating the economic impact of the pandemic on households and businesses.
*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.