Trump's felony conviction in hush money trial: Letters to the Editor...
- Bias Rating
64% Medium Conservative
- Reliability
25% ReliablePoor
- Policy Leaning
92% Very Conservative
- Politician Portrayal
-60% 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
-11% 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:
40% : And with this, the jury reached a guilty verdict on all charges against Trump.39% : The guilty verdict therefore represents a travesty of justice, revealing a corrupt system that sacrifices truth and fairness at the altar of political expediency.
38% : If you consider yourself a reasonable person and yet fail to acknowledge the weaponization of the justice system against Trump, it's because you're choosing not to see it.
37% : The prosecution's decision to charge Trump with 34 counts of falsifying business records in the first degree raised eyebrows -- with critics validly pointing out that the charges were based on a technicality.
36% : Not only did Lady Justice have both eyes wide open, but she also had her foot firmly planted on the scales against Trump.
29% : Crime statistics from 2022, where only 4,217 out of 154,617 arrests in New York City resulted in prison sentences, suggest that Bragg is a failure of a DA.
27% : Manhattan District Attorney Alvin Bragg claims he simply did his job when he led a coordinated and partisan political sham trial against Trump.
24% : Paul JablonskiRockaway BeachThankfully, we no longer have to refer to Trump as the "former president.
19% : It would also lead to Attorney General Merrick Garland's downfall after Trump inevitably wins in November.
*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.