Convicted Mass Murderer Dylann Roof Asks Supreme Court to Consider His Death-Penalty Appeal
- Bias Rating
98% Very Conservative
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
22% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
40% : The government announced it would pursue the death penalty and rejected Roof's offer to plead guilty in exchange for life imprisonment.36% : Roof, who is now on federal death row in Terre Haute, Indiana, fired his lawyers during the penalty phase of his trial and represented himself in order to prevent the presentation of evidence showing he was mentally ill, even though such mitigating evidence may have helped him avoid execution.
34% : The lawyers argued that U.S. District Judge Richard Gergel, an Obama appointee, erred in finding Roof competent to stand trial even though "every defense expert agreed Roof suffered a delusional belief he would be rescued by the victors of a race-war, which prevented him from understanding the threat of execution was real."
*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.