Gov. Evers, Evers Administration Recognize World Suicide Prevention Day, Highlight Grants to Help Reduce Suicide Deaths
- Bias Rating
-50% Medium Liberal
- Reliability
65% ReliableFair
- Policy Leaning
-16% Somewhat Liberal
- Politician Portrayal
50% 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
-20% Negative
- 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:
57% : Based on similar frameworks Gov. Evers proposed as part of all three of his executive budget proposals and on DHS's proposals for these five crisis stabilization facilities, Act 249 will introduce additional points of contact and service for individuals experiencing a mental health crisis, allowing them to be treated in the community and closer to their support systems and home.54% : The Commission was charged with identifying gaps in existing services, areas in need of robust investment, and reducing barriers to economic security, including efforts to expand access to higher education and job training, address housing insecurity, and increase mental and behavioral health support and substance use disorder treatment.
*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.