Politi Fact Article Rating

Social media users claimed Donald Trump attorney Alina Habba accused a New York judge of taking a $10 million bribe to "convict" Trump. But this is unfounded.

  • Bias Rating

    50% Medium Conservative

  • Reliability

    85% ReliableGood

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -12% Negative

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

Overall Sentiment

-8% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

59% : An appeals court lowered the bond to $175 million and Trump posted a bond in that amount April 1.
30% : None of these accounts are authentic because Habba doesn't have a Telegram account, her spokesperson said.(Screengrabs from Telegram)The social media posts also wrongly claim that Engoron convicted Trump.
20% : Civil court cases, such as the one Trump lost in New York, can involve disputes about money and debts, property, injuries, marriage or children.
19% : He took a $10,000,000 BRIBE from Joe Biden's shell companies to convict Donald Trump!"TikTok identified this video as part of its efforts to counter inauthentic, misleading or false content.
14% : A March 19 TikTok video showed still images of Alina Habba, an attorney representing Trump, and Arthur Engoron, the New York Supreme Court justice presiding over Trump's civil business fraud case.
12% : We rate the claim that Habba said on Telegram that Engoron took a "$10 million bribe from Joe Biden's shell companies to convict Donald Trump" False.
11% : In February, Engoron ruled that Trump and the Trump Organization must pay $454 million for fraudulently inflating Trump's net worth.

*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.

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