WNDJudge in Michael Cohen's case asks why fake cases were submitted
- Bias Rating
22% Somewhat Conservative
- Reliability
70% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-36% 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
-15% 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:
60% : It was my belief, however, that Mr. Cohen had sent me cases found by Ms. [Danya] Perry," Schwartz said.14% : Former Trump lawyer Michael Cohen testifies to the House Oversight and Government Reform Committee Feb. 27, 2019 (Video screenshot)Lawyer Michael Cohen, who once represented Donald Trump and was part of the administration of Trump's corporate empire, later was jailed for campaign-finance violations and fraud, as well as lying to congressional committees.
12% : He's now out of prison and prosecutors in New York have schemed to use his testimony against Trump in their effort to find a conviction and keep Trump from the 2024 presidential ballot.
*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.