Where Police Killings Often Meet With Silence: Rural America
- Bias Rating
-76% Very Liberal
- Reliability
N/AN/A
- Policy Leaning
-76% Very Liberal
- Politician Portrayal
-33% 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:
44% : White people make up the rural majority in nearly every state, and two-thirds of the people fatally shot by law enforcement in rural areas across the country were white, the data analysis shows; about 10% were Black.38% : High-profile urban police shootings such as the killing of Breonna Taylor in Louisville, Kentucky, have set off protests, prompted widespread calls for change and led to new policies in some law enforcement agencies.
38% : Working alone "affects the mindset of the officer on the scene," said Ralph Weisheit, a professor of criminal justice at Illinois State University.
32% : the Rand Corp. And in at least nine of the 33 rural Kentucky deaths during the period reviewed, troopers fatally shot someone who had fired at law enforcement.
*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.