
Readers sound off on delayed outrage, managed care plans and blue-state voters
- Bias Rating
- Reliability
30% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-57% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
-33% Negative
- 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:
55% : I have a New Era supplemental plan under which Medicare pays first and New Era pays whatever balance is left of any Medicare-approved service.49% : The government shouldn't allow insurers to advertise Advantage plans as though they are Medicare.
23% : I'm willing to do my share, but forgive my cynicism when I see President Trump moving to extend tax cuts for the likes of Elon Musk.
20% : Trump has started a cold war with Canada.
*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.