Baller Alert Article RatingDOJ Reconsiders Police Reform Deals in Louisville and Minneapolis
- Bias Rating
20% Somewhat Right
- Reliability
N/AN/A
- Policy Leaning
24% Somewhat Right
- Politician Portrayal
-56% Negative
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
26% Positive
- 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:
50% : Leaders in Louisville and Minneapolis emphasized their commitment to making lasting changes, even without federal oversight.48% : Federal Push for Police Accountability Hits a Roadblock as DOJ Seeks to End Agreements Sparked by Breonna Taylor and George Floyd Cases The U.S. Department of Justice is looking to pull back from court-enforced police reform agreements with Louisville, Kentucky and Minneapolis, Minnesota -- two cities that became central to nationwide calls for police accountability after the deaths of Breonna Taylor and George Floyd in 2020.
36% : These agreements, known as consent decrees, were designed to overhaul local policing practices following federal investigations that found civil rights violations.
*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.
