Men Exonerated In Malcolm X Murder Trial To Receive $36 Million In New Settlement Case

  • Bias Rating

    -34% Medium Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -34% Medium Liberal

  • Politician Portrayal

    N/A

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

N/A

  •   Liberal
SentenceSentimentBias
"After closing the case in November 2021, Vance apologized to both men for their wrongful convictions, noting how law enforcement had committed serious, unacceptable violations of law and the public trust."
Negative
-34% Liberal
"That case was decided only six years ago, but the makeup of the court has changed significantly since then, with the addition of the three Trump appointees and Justice Ketanji Brown Jackson, the court's first Black woman."
Negative
-2% Liberal
"But Students for Fair Representation, the creation of conservative activist Ed Blum, has always pointed toward the nation's highest court, more conservative now that former President Donald Trump's three nominees are among the nine justices, as the best forum to roll back more than 40 years of court rulings that allow race to be one factor among many in admissions."
Negative
-22% Liberal
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:

33% : After closing the case in November 2021, Vance apologized to both men for their wrongful convictions, noting how law enforcement had committed "serious, unacceptable violations of law and the public trust."

*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