Unarmed mental health response teams are all the rage among progressive politicians. Data say they won't make a substantial difference in reducing police violence.
- Bias Rating
-60% Medium Liberal
- Reliability
N/AN/A
- Policy Leaning
-66% Medium Liberal
- Politician Portrayal
13% Positive
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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
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Policy Leaning Analysis
Politician Portrayal Analysis
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-100%
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Contributing sentiments towards policy:
49% : Programs like CAHOOTS are crucial for removing law enforcement from situations that mental healthcare professionals are better trained to respond to -- but they also demand more nuanced and thoughtful discourse from city leaders.48% : Advocates and politicians alike have called for specially trained, unarmed teams to respond to mental-health calls in lieu of law enforcement.
48% : Bruno, who has worked in law enforcement for more than two decades, said that a co-response between such teams can address higher-stakes mental-health emergency calls that require law enforcement.
48% : "The intention of the program when it was started was to reduce the potential for folks in our community experiencing addiction or behavioral-health crisis to have an encounter with law enforcement in the first place," said Tim Black, director of consulting for White Bird Clinic and a former CAHOOTS crisis worker.
45% : Until solutions are thoroughly researched and effectively implemented, armed law enforcement will continue to be the default response in many mental-health crisis calls.
42% : "Many law enforcement agencies have not followed the fidelity of the CIT model," he said.
41% : Despite police departments' ostensible support for initiatives designed to curtail use of force, law enforcement agencies do not collect or publish detailed data on their interactions with civilians.
39% : "If you do not meet the demand with those non-law-enforcement crisis-response teams, then law enforcement is going to become the default responders again."
*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.