Police shouldn't handle mental health calls. Reform is critical for public safety.
- Bias Rating
-4% Center
- Reliability
70% ReliableGood
- Policy Leaning
-16% Somewhat Liberal
- Politician Portrayal
32% Positive
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
- 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:
58% :Such tools can help law enforcement better tailor their responses to people in crisis.53% : It also provides that same information to law enforcement, priming them and giving context to a situation before they arrive on the scene.
48% : And when crises do occur, we should have appropriate responses that do not rely solely on law enforcement.
42% : A week in a classroom is simply not enough to prepare law enforcement for managing a problem as complex as mental illness, especially considering the types of high-adrenaline, and often violent, situations that police officers must deal with on a regular basis.
41% : Law enforcement should be focused on preventing and solving serious crime, and are often not sufficiently trained and equipped to respond to crisis situations involving people suffering a mental health emergency.
*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.