Minneapolis' Struggle to Reform Police After George Floyd

May 26, 2022 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    8% Center

  • Politician Portrayal

    26% Negative

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

Overall Sentiment

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
"In Central, there are residents who have followed the police budget closely."
Positive
12% Conservative
"In Mieapolis, the mayor, various members of the city council, and the police union have publicly called for more police funding and hiring, or supported budget proposals that accomplish such increases."
Positive
0% Conservative
"Elected officials and police leaders assured the country, as much as they did Mieapolis' residents, that they would fix law enforcement in Mieapolis and make a concerted effort to build trust with residents."
Negative
-4% Liberal

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:

56% : In Central, there are residents who have followed the police budget closely.
50% : In Minneapolis, the mayor, various members of the city council, and the police union have publicly called for more police funding and hiring, or supported budget proposals that accomplish such increases.
48% : Elected officials and police leaders assured the country, as much as they did Minneapolis' residents, that they would fix law enforcement in Minneapolis and make a concerted effort to build trust with residents.

*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.

Copy link