Schumer's Activist Judges
- Bias Rating
-2% Center
- Reliability
45% ReliableAverage
- Policy Leaning
34% Somewhat Conservative
- Politician Portrayal
-23% 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
7% 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:
50% : As Trump works to implement his campaign promise of deporting gang members and foreign terrorists out of American communities, leftist judges are usurping democracy with unprecedented injunctions.46% : In fact, new analysis from Blue Rose Research shows if every registered voter had participated in the election, Trump would have won in an even bigger landslide.
42% : "If all registered voters had turned out, then Donald Trump would've won the popular vote by 5 points [instead of 1.7 points].
41% : They've tossed aside that Trump is a duly elected president, put back in the White House by the American people.
33% : "The good news here is we did put 235 judges, progressive judges, judges not under the control of Trump on the bench last year and they are ruling against Trump.
*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.