
Trump pardons DC police officers involved in deadly moped chase
- Bias Rating
- Reliability
50% ReliableAverage
- Policy Leaning
80% Very Right
- Politician Portrayal
-31% 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
-33% Negative
- 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:
42% : " Since his return to the White House, Trump has also pardoned more than 1,500 Jan. 6, 2021, Capitol riot prisoners, as well as Silk Road founder Ross Ulbricht.39% : "Anti-police bias and political expediency drove politicians and prosecutors to pursue these officers with reckless disregard for the facts of the case.
38% : The Law Enforcement Legal Defense Fund, a nonprofit group that supported Sutton and Zabavsky in their efforts to fight the criminal charges, said it was "extraordinarily grateful" to Trump for the pardons.
29% : " On Inauguration Day, Trump, 78, teased that Sutton and Zabavsky would soon receive pardons, prompting Hylton-Brown's mother to release a statement urging against the clemency.
20% : President Trump granted full and unconditional pardons Wednesday to two Washington, DC, police officers sentenced to prison time for their roles in a deadly moped chase and a subsequent effort to cover it up.
*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.