Mediaite Article Rating

Trump Lawyer Totally Unleashes On Michael Cohen in Heated Closing Argument: 'He Lied to You'

May 28, 2024 View Original Article
  • Bias Rating

    -56% Medium Liberal

  • Reliability

    50% 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

-29% Negative

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

46% : But the First Republic Bank document in which Allen Weisselberg scribbled on grossing up to $420,000, doing the actual math that paid back reimbursed, as Michael Cohen alleges, Michael Cohen," Vossoughian concluded -- referring to Trump repaying Cohen for the hush money payments central to the case.
24% : "Klasfeld explained the importance of Blanche's point, "This is the second time that Blanche used extrinsic evidence to undermine Cohen's account of an alleged conversation with Trump.
19% : Trump is standing trial over his alleged role in falsifying business documents to pay hush money to several figures, including porn star Stormy Daniels, so that damaging stories about him would not make headlines ahead of the 2016 presidential election.
10% : Cohen made those payments on Trump's behalf and has testified that Trump explicitly ordered those stories suppressed to influence the outcome of the election, which is part of the criminal charges against Trump.

*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.

Copy link