HuffPost UK Article RatingLawrence O’Donnell Spots Major Sign Many Trump Voters Have 'Now Turned Against’ Him
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-57% 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
N/A
- 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:
45% : “That number used to be often 20 points higher than that for Donald Trump,” O’Donnell said.27% : He predicted that those GOP lawmakers would then “abandon” Trump as they face difficult reelection battles.
26% : O’Donnell said that, just as Nixon had partisans even after he resigned, Trump has a core that will not turn on him.
21% : “And the public, including Trump voters, have noticed and have turned on Donald Trump.”
10% : “And so Donald Trump’s power is slipping, and could slip away if the polling disaster Donald Trump is personally facing right now tonight spreads to Republicans in the Senate and
1% : “But the marginal voter who made Donald Trump, that swing voter who made Donald Trump president, has now turned against Donald Trump,” he said.
*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.