President-elect Donald Trump tries again to get Friday's hush money...
- Bias Rating
24% Somewhat Conservative
- Reliability
85% ReliableGood
- Policy Leaning
64% Medium Conservative
- Politician Portrayal
-46% Negative
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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
-36% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
54% : He said giving Trump what´s known as an unconditional discharge - closing the case without jail time, a fine or probation - "appears to be the most viable solution.45% : Trump, less than two weeks from his inauguration, is poised to be the first president to take office convicted of crimes.
45% : The case centered on how Trump accounted for reimbursing his then-personal lawyer Michael Cohen, who had made the payment to Daniels.
39% : Trump turned to the Appellate Division of the state's trial court a day after the trial judge, Judge Juan M. Merchan, rebuffed his bid to indefinitely postpone sentencing and ordered it to go ahead as scheduled on Friday.
39% : Trump is seeking an emergency order that would spare him from being sentenced while he appeals Merchan's decision last week to uphold the historic verdict.
35% : Merchan has signaled that he is not likely to punish Trump for his conviction on 34 felony counts of falsifying business records and will accommodate the transition by allowing him to appear at sentencing by video, rather than in person at a Manhattan courthouse.
26% : "Trump was convicted last May on charges involving an alleged scheme to hide a hush money payment to porn actor Stormy Daniels in the last weeks of Trump´s 2016 campaign to keep her from publicizing claims she´d had sex with him years earlier.
*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.