Traitor or scapegoat? How one cop became the face of Jan. 6.
- Bias Rating
-4% Center
- Reliability
N/AN/A
- Policy Leaning
26% Somewhat Conservative
- Politician Portrayal
-62% 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
N/A
- 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:
47% : In June 2020, a few weeks after Mr. Floyd was killed by a police officer, Ms. Craighead organized a Black Lives Matter rally in downtown Rocky Mount - the first that this rural Virginia county had ever had.44% : "Of course law enforcement has to intervene when people are engaged in criminal activity, but what that tends to do is the people who are loosely affiliated tend to drift off and drift away, while those who are committed tend to go even deeper underground," says Mr. Haider-Markel.
43% : Mr. Robertson says he brought gas masks because of scenes of pepper spray he had seen during the 2020 Black Lives Matter protests.
41% : She was angry that after the officers had cautioned her about keeping her Black Lives Matter rally nonviolent, they turned around and participated in the assault on the Capitol less than a year later.
*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.