PeopleHouse Republicans Want to Rename Airport After Donald Trump in New Bill
- Bias Rating
10% Center
- Reliability
90% ReliableExcellent
- Policy Leaning
10% Center
- Politician Portrayal
14% Positive
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
11% 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% : Reschenthaler praised Trump in a statement to Fox News Digital, in which he explained the sponsors' reasoning for wanting to rename the airport.49% : Trump also ranked number one among "most polarizing" presidents.
49% : "Donald Trump is by far the most polarizing of the ranked presidents, selected by 170 respondents and earning a 1.64 average (1 is a 'most polarizing' ranking)," the survey said.
18% : Trump, the presumptive Republican nominee for the 2024 presidential election, is the only president to have been impeached twice and the first to face criminal charges.
14% : In February, a poll that surveyed 154 presidential historians who are current and recent members of the American Political Science Association, named Trump the worst president in U.S. history.
*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.