Trump hush money sentencing delayed to September, weeks before US election
- Bias Rating
42% Medium Conservative
- Reliability
25% ReliablePoor
- Policy Leaning
86% 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
-25% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
37% : Trump faces an uphill battle getting the hush money conviction overturned, since much of the conduct at issue in the case predated his time in office.31% : Trump denies having had sex with Daniels and has vowed to appeal the conviction after his sentencing.
25% : Trump's lawyers on Monday asked Merchan to allow them to argue his conviction should be overturned due to the justices' 6-3 ruling on July 1, which also held that evidence related to presidents' official actions cannot be used to help prove criminal cases involving unofficial actionsProsecutors with Manhattan District Attorney Alvin Bragg's office said earlier on Tuesday that Trump's argument was "without merit," but agreed to delay the sentencing to give Trump the chance to make his case.
23% : "This official-acts evidence should never have been put before the jury," lawyers Todd Blanche and Emil Bove wrote.Last year, Trump made a similar argument as part of an unsuccessful push to move the hush money case to federal court.
6% : A Manhattan jury on May 30 found Trump guilty of falsifying business records to cover up his former lawyer Michael Cohen's $130,000 payment to adult film actress Stormy Daniels to stay quiet about an alleged 2006 sexual encounter until after the 2016 election, in which Trump defeated Democrat Hillary Clinton.
*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.