CNNTrump asks New York appeals court to throw out $454 million civil judgment | CNN Politics
- Bias Rating
-78% Very Liberal
- Reliability
55% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-65% 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
-44% Negative
- 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:
30% : Trump's lawyers say Engoron made uninformed judgments as to the valuations of Trump's properties without considering any expert testimony when he ruled in the summary judgment that Trump inflated his asset value, the filing says.26% : In the filing Monday, they argued that Trump should have also been excluded from the case.
16% : The filings are Trump's latest attempt to throw out the $454 million judgment levied by state Judge Arthur Engoron in February, who found Trump, two of his sons - Donald Trump Jr. and Eric Trump - and their real estate business liable for fraud.
12% : According to Trump's attorneys, Trump personally should have been dismissed as a defendant.
*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.