Trump pardons two police officers convicted in murder of Black man in Washington
- Bias Rating
Center
- Reliability
30% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-35% 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
-36% 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:
71% : Zabavsky's attorney, Christopher Zampogna, also thanked Trump.43% : Sutton's attorney, Kellen Dwyer, said in a statement cited by CNN that while he and his client were "confident that the D.C. Circuit would have reversed this conviction, we are thrilled that President Trump ended this prosecution once and for all."
42% : The Fraternal Order of Police, the largest police union in the U.S. that endorsed Trump in the 2024 election, and the International Association of Chiefs of Police said in a joint statement they were "deeply discouraged" by those pardons.(Reporting by Kanishka Singh in Washington; Editing by Donna Bryson and Gerry Doyle)
29% : After taking office on Monday, Trump pardoned about 1,500 of his supporters who attacked the U.S. Capitol four years ago on Jan. 6, 2021.
*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.