
Judge Merchan is feeling the consequences of the Supreme Court's immunity decision
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
-30% Negative
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Bias 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
-9% Negative
- 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%
Liberal
100%
Conservative

Contributing sentiments towards policy:
54% : They argue this evidence includes Trump's social media posts and public statements while in office; witness testimony regarding events in the Oval Office (most likely that of former communications director Hope Hicks and executive assistant Madeleine Westerhout); toll records reflecting calls Trump made while president; and an ethics financial disclosure form he filed in 2018.34% : After all, the efforts to cover-up allegations of infidelity ahead of the 2016 election occurred when Trump was a candidate and not yet in the White House.
34% : but not so highly prejudicial that it denied Trump a fair trial, especially in light of the overwhelming mountain of evidence of guilt.
29% : And sure enough, on Thursday, the day Trump was supposed to be sentenced for his Manhattan business fraud felonies, lawyers formerly asked a state court judge to vacate the former president's historic hush money conviction.
13% : Last month's landmark U.S. Supreme Court decision, Trump v. United States, holding that former presidents are immune from criminal prosecution for official acts, has gifted former President Donald Trump with yet another legal delay tactic.
*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.