Donald Trump's New York hush money sentencing in jeopardy as case deadlines paused
- Bias Rating
40% Somewhat Conservative
- Reliability
20% ReliablePoor
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-35% 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
-25% 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:
30% : It's unclear what Tuesday's decision to pause the current deadlines means for whether Trump will ever be sentenced.30% : Trump was found guilty May 30 of 34 felony counts of falsifying business records in order to cover up a hush money payment to buy porn star Stormy Daniels' silence ahead of the 2016 presidential election about an alleged sexual encounter between them.
16% : If Trump does face a sentencing hearing, Merchan has a wide set of options, including not imposing a sentence, ordering community service, or sending Trump to prison.
16% : That would mean delaying the Georgia state prosecution against Trump for his alleged 2020 election interference past his next presidential term, and has uncertain implications for Trump's post-conviction New York proceedings.
*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.