
Legal Expert Explains Why Trump Effort to Squash Sentencing Is BS | Common Dreams
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-61% 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
-2% 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:
46% : "I call BS," said Eisen, a senior fellow at the Brookings Institution, explaining on the social media platform X that presidential immunity "does not apply here" because the case pertains to events that took place before Trump was first elected president.37% : "Hasn't Trump delayed accountability long enough?" asked Norm Eisen of the Brookings Institution.
30% : In the filing, Eisen said, "Trump argues that 'further criminal proceedings are automatically stayed by operation of federal constitutional law.'
26% : The case -- one of four pending criminal cases against Trump while he ran for president last year -- pertains to a $130,000 hush-money payment made to adult film actress Stormy Daniels just before Trump's 2016 electoral victory.
12% : He's making this shit up as he goes along." "Hasn't Trump delayed accountability long enough?" said Eisen.
*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.