Check out this free eBook to learn more about detecting misinformation in the news.
Kamala Harris, in rare border visit, seeks to blunt Trump attacks
- Bias Rating
48% Medium Conservative
- Reliability
25% ReliableLimited
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-44% 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
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

Medium Conservative
48%
Contributing sentiments towards policy:
44% : Laughing at Trump's pledges to secure the border, she showed the BBC gaps in Trump's wall and where people could cut through the steel fencing.32% : She is disappointed to hear Harris promising to crack down on migrants but, given a choice between her and Trump, the Democrat can count on Ms Kochorek's vote.
22% : It's a waste of paper," Trump told supporters earlier on Friday at a rally in Walker, in the swing state of Michigan.
15% : Denying that he lobbied congressional allies to tank the piece of legislation, Trump claimed Harris "want to see if she could salvage it and make up some lies".
*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.


Check out this free eBook to learn more about detecting misinformation in the news.