Time to toss the Trump 'hush money' case -- it was always bogus,...
- Bias Rating
26% Somewhat Conservative
- Reliability
35% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-63% 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
-10% 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:
34% : Even without the Supreme Court ruling that calls much of it into question, the legal flaws were huge: The charges relied on 1) finding Trump had committed some other crime that no authority ever charged, and 2) using that to morph bookkeeping moves that at most would be a misdemeanor (on which the statute of limitations had already lapsed) into a felony.26% : violations Trump had committed, with no need to even agree on what "crime" he'd committed.
24% : The only real point ever was to get a guilty verdict to license Democrats to spend the campaign damning Trump as a "convicted felon" -- though it failed to convince enough voters to stop him from winning bigly last Tuesday.
*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.