Biden Team Says Trump 'Feeble, Confused, and Tired'

Mar 25, 2024 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    25% ReliablePoor

  • Policy Leaning

    10% Center

  • Politician Portrayal

    38% 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

-10% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
"It's a sad day in our country in many respects, but the good day is that the appellate division was fair, Trump told reporters during a 21-minute news conference."
Positive
8% Conservative
"Trump praised the decision of a New York appeals court on Monday to drop his bond from more than $454 million to $175 million, even as he lashed out at Judge Arthur Engoron and New York Attorney General Letitia James."
Negative
-44% Liberal
"It's a sad day in our country in many respects, but the good day is that the appellate division was fair, Trump told reporters during a 21-minute news conference."
Positive
4% Conservative
Upgrade your account to obtain complete site access and more analytics below.

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:

54% : "It's a sad day in our country in many respects, but the good day is that the appellate division was fair," Trump told reporters during a 21-minute news conference.
28% : "Trump praised the decision of a New York appeals court on Monday to drop his bond from more than $454 million to $175 million, even as he lashed out at Judge Arthur Engoron and New York Attorney General Letitia James.

*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