American Police Say Officers Are Quitting in Droves. Federal Data Says Otherwise
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-44% Medium Left
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
N/A
- Liberal
- Conservative
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:
51% : Policing is a secure job, according to Peter Moskos, a professor at the John Jay College of Criminal Justice, which explains the relatively small increase in retirements and resignations over 2020.47% : Read more: Police Departments Struggle to Recruit Black Cops, So This HBCU Came Up With a Plan While there's speculation that protests against police killings discourage people from joining law enforcement -- and that criminal justice education programs won't meet their enrollment goals, Philip Stinson, a professor of criminal justice at Bowling Green State University, doesn't believe it.
43% : State and federal law enforcement departments actually saw a slight increase in the number of employees.
36% : A May graduate from the John Jay College of Criminal Justice, the police murder of George Floyd and the subsequent protests did not deter him.
*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.