Alvin Bragg responds to Donald Trump
- Bias Rating
10% Center
- Reliability
60% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-62% 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
-3% 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:
35% : CNN legal analyst Norm Eisen, who served as a special counsel to the House Judiciary Committee during Trump's first impeachment, called Bragg's brief "devastating" for Trump on X, formerly Twitter, on Thursday afternoon.29% : "For one thing, [Trump] failed to preserve an objection on immunity grounds to most of the evidence that is the subject of his current motion," Bragg wrote.
22% : Daniels alleges she had a sexual encounter with Trump in 2006, which he denies.
21% : In late May, Trump was found guilty on 34 counts of falsifying business records related to hush money paid to adult film actress Stormy Daniels before the 2016 presidential election.
12% : "Bragg asked the court to reject Trump's request in his own brief on Thursday, arguing that the criminal charges relate to unofficial acts by Trump, which are not immune from prosecution.
*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.