mLiveDemocrats running for Muskegon County's 87th House district outline their stances
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-50% Medium Left
- Politician Portrayal
-48% Negative
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:
69% : Renewable energy is essential to our economic growth-I support a continued investment in fossil fuel alternatives.68% : Michigan has a long history of manufacturing and as it reaffirms its identity over the next 20 years, we should attempt to capitalize on manufacturing green energy to cement our position as a leader in renewable energy while providing for our residents.
63% : We need an increased focus on renewable energy.
60% : What is your position on energy efficiency and renewable energy?
51% : Law enforcement needs the proper funding for community police work, detectives, and other cutting-edge practices that reduce crime and provide for more equitable outcomes in our criminal justice system.
47% : Warren: The United Nations has declared access to clean water to be a human right-I completely support this assertion worldwide and in Michigan.
*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.
