Supreme Court agrees to hear case over ban on bump stocks for firearms
- Bias Rating
-50% Medium Liberal
- Reliability
60% ReliableFair
- Policy Leaning
-72% Very Liberal
- Politician Portrayal
-61% 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:
45% : A three-judge appeals court panel agreed with the district court's conclusion that bump stocks qualify as machine guns under federal law.40% : "Despite ATF's previous assurances that federal law permitted possession of a bump stock, the Final Rule now brands as criminals all those who ever possessed a bump stock," the lawyers wrote.
39% : After determining that the National Firearms Act is ambiguous in two areas, the 5th Circuit concluded that a non-mechanical bump stock is not a machine gun under the law.
33% : Lawyers for Cargill are also urging the Supreme Court to take up the challenge to ATF's bump stock ban, arguing that the definition of machine gun under federal law is an issue "that affects many Americans.
*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.