Walz's handling of unrest after George Floyd's death coming under renewed scrutiny
- Bias Rating
10% Center
- Reliability
50% ReliableFair
- Policy Leaning
-28% Somewhat Liberal
- Politician Portrayal
-32% 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
-35% Negative
- 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:
92% : In a call with Walz and other leaders about a week after Floyd's death, Trump remarked that "what they did in Minneapolis was incredible.86% : In the call, Trump described Walz as "an excellent guy," and later told him: "I don't blame you.
59% : ""They went in and dominated, and it happened immediately," Trump said, according to an audio recording of the call obtained by ABC News and other outlets.
26% : Trump said he had been planning to send in federal troops "to get the job done right," and singled out the city's mayor, Jacob Frey, saying he'd shown a "total lack of leadership."
23% : But as president, Trump struck a decidedly different tone on a call with Walz and administration officials on June 1, 2020 -- a week after Floyd's death.
*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.