Yahoo News Article Rating

Julius Jones' death sentence in 1999 Oklahoma murder should be commuted, panel finds

Sep 14, 2021 View Original Article
  • Bias Rating

    -54% Medium Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -64% Medium Liberal

  • Politician Portrayal

    16% 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

N/A

  •   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% : The death penalty case of Julius Jones, which has caught the attention of people across the country, including multiple celebrities, was recommended for commutation by the Oklahoma Pardon and Parole Board on Monday.
42% : "I believe in death penalty cases there should be no doubt, and put simply, I have doubts in this case," said Oklahoma Pardon and Parole Board Chairman Adam Luck.
38% : A 2017 study by the Journal of Criminal Law and Criminology found that defendants of color in Oklahoma accused of killing white victims are more than twice as likely to receive the death penalty, compared to white defendants accused of the same crime.
30% : In 2017, a bipartisan group of state leaders, academics, attorneys and criminal justice advocates concluded that not only were there serious shortcomings in the way death penalty cases are investigated and litigated in the state, but that "it is undeniable that innocent people have been sentenced to death in Oklahoma."

*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