Yahoo News Article RatingTrump loses longshot bid to challenge hush money conviction in federal court
- Bias Rating
- Reliability
85% ReliableGood
- Policy Leaning
50% Medium Right
- Politician Portrayal
-51% 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
-29% 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:
48% : Justice Juan Merchan -- the New York state court judge who presided over the trial -- is currently weighing requests from Trump to toss out the verdict or postpone the sentencing hearing until after Election Day.44% : The judge pointed to a ruling last year in which he denied an earlier bid by Trump to move the case to federal court.
36% : Trump sought last week to transfer the case to federal court, where he hoped to overturn the guilty verdict.
28% : In a four-page ruling, Hellerstein wrote that Trump hadn't met the legal standard for moving the case to federal court.
22% : U.S. District Judge Alvin Hellerstein shot down a request from Trump's lawyers to move the case out of state court, where Trump was convicted in May of 34 counts of falsifying business records to cover up a payment to a porn star.
*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.
