
Arizona border residents explain Harris's appeal - Washington Examiner
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
-18% Somewhat Left
- Politician Portrayal
-33% 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
19% Positive
- 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:
62% : "Her being the bigger person and just doing what she thinks she needs to do and saying what she needs to say, regardless of what [Trump] says, I think is huge," Christina Sgrillo of Benson said at the event on campus at Cochise College in Douglas Friday evening.61% : "Trump tanked it to use it for his campaign speeches.
45% : "Solutions are at hand if we focus on fixing a problem and not running on a problem," Harris said during her speech, chiding Trump on immigration.
*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.