'Own Best Advocate': Andy McCarthy Wishes Trump Took Stand In Trial After Being Impressed By Testimony At Sentencing

Jan 10, 2025 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    95% ReliableExcellent

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -43% 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

18% Positive

  •   Liberal
  •   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:

52% : "I always wondered how Trump would have done as a witness.
37% : McCarthy, on "America's Newsroom," noted that Trump effectively defended his actions during the hearing and expressed curiosity about how Trump might have performed as a witness in a courtroom setting.
36% : The president-elect professed his innocence, asserting he "was treated very, very unfairly."After the sentencing, Trump posted on Truth Social that he will appeal the case.
33% : Trump appeared virtually at the hearing, during which Merchan sentenced him to an unconditional discharge, imposing no fine, jail or probation time.
29% : "A Manhattan jury convicted Trump in May on 34 felony counts of falsifying business records pertaining to a $130,000 non-disclosure payment to former porn actress Stormy Daniels, who alleged that the two had an affair in 2006.
27% : Trump repeatedly characterized the payment as a "legal expense" during the hearing, saying he did not falsify business records.

*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