Trump's sentencing must be seen by all
- Bias Rating
10% Center
- Reliability
65% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-51% 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
22% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
51% : Further, New York State court policy is "to facilitate the audio-visual coverage of court proceedings to the fullest extent permitted" to maintain public access and to preserve public confidence in the judiciary.50% : Rather, I saw prosecutors building a reasonable, yet convincing case, a jury paying close attention to the evidence, and Merchan treating Trump with respect as he went out of his way to ensure a fair trial.
40% : What I saw was vastly different than the "unconstitutional crusade" against him as described by Trump, his lawyers, and his surrogates.
31% : Merchan said in his Jan. 3 decision that he is not inclined to punish Trump in any fashion, and that "an unconditional discharge appears to be the most viable solution.
29% : Unfortunately, Trump took advantage of the vacuum created by the lack of audio-visual coverage of the trial.
26% : Assuming the U.S. Supreme Court doesn't stop it, Donald Trump will be sentenced tomorrow morning by Acting Manhattan state Supreme Court Justice Juan Merchan for being convicted of 34 felony counts.
20% : And to this day, in response to the sentencing decision, Trump and his spokesperson Steven Cheung call the trial a "hoax" and a "witch hunt," attacking the integrity of the proceedings and of our judicial system.
*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.