All 12 Jurors -- And Alternates -- Seated In Trump's Hush Money Trial: Here's What We Know About Them

Apr 19, 2024 View Original Article
  • Bias Rating

    58% Very Conservative

  • Reliability

    40% ReliableFair

  • Policy Leaning

    92% Extremely Conservative

  • Politician Portrayal

    98% 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

-25% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

37% : Among the potential witnesses are former Trump attorney Rudy Giuliani, former White House staffers Hope Hicks and Steve Bannon, as well as Trump's adult children and his wife, Melania Trump.
33% : Trump pleaded not guilty to the charges.
32% : Prosecutors in the case allege Trump falsified business records by mislabeling a $420,000 payment to former attorney Michael Cohen to allegedly cover the cost of a $130,000 hush money payment to former adult film star Stormy Daniels in the lead-up to the 2016 presidential election, which Trump allegedly labeled that payment as a legal fee to Cohen.
27% : "Trump was indicted on 34 felony charges in Manhattan last March -- the former president and 2024 GOP nominee's first of four criminal indictments since launching his latest presidential campaign.
23% : Trump has sounded off against both Manhattan Attorney General Alvin Bragg, who brought the felony charges, and Merchan, in the year since his indictment in New York, repeatedly bashing the case as a "witch hunt."
14% : One was removed over social media posts that said of Trump "locl him up," while another who professed negative political views of Trump had social media posts indicating they fundraise for a PAC they said "supports grassroots organizations.

*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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