UPDATE 1-Ex-Trump fixer Michael Cohen says AI created fake cases in court filing
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-64% 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
-7% Negative
- 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:
63% : He directed Cohen's lawyer, David Schwartz, to demonstrate why he should not be sanctioned for citing non-existent cases.29% : Cohen was recently a witness in New York state Attorney General Letitia James' civil fraud case against Trump.
29% : Cohen is expected to also testify in the state criminal case against Trump that accuses him of falsifying business records to hide reimbursements to Cohen for a $130,000 payment to silence porn star Stormy Daniels before the 2016 presidential election.
27% : Cohen, who is expected to be a star witness against Trump at one of the former president's criminal trials, said in a sworn declaration in federal court in Manhattan that he did not realize the citations generated by Google Bard were fictitious.
*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.