ABC News Article Rating

5 big takeaways from Day 19 of Trump's hush money trial

May 20, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    35% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -66% 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

-22% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

44% : On Monday, Cohen said he had "more than 20" conversations, in person or by phone, with Donald Trump in October 2016 about the Stormy Daniels payoff.
38% : Before court concluded, Judge Merchan asked attorneys for Trump whether they planned to call any additional witnesses.
32% : Trump is on trial for allegedly falsifying business records to hide the reimbursement of a hush money payment that Cohen, his then-attorney, made to adult film actress Stormy Daniels in order to boost Trump's electoral prospects in the 2016 presidential election.
20% : Michael Cohen spent nearly four full days on the witness stand, where he described in chapter and verse how Donald Trump allegedly falsified business records to conceal payments to Stormy Daniels ahead of the 2016 election.
18% : The defense called its first two witnesses -- neither of whom were Donald Trump -- and set out to undermine Cohen's credibility.
2% : Jurors in recent weeks heard from Stormy Daniels, the adult film actress whose long-denied alleged affair with Trump underpinned the alleged illegal conduct; David Pecker, the tabloid executive who promised to "catch-and-kill" negative stories about Trump; and Michael Cohen, Trump's onetime attorney who arranged and executed the payments.

*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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