Get ready, Donald Trump -- in California, Kamala Harris has shown she's a skilled debater
- Bias Rating
50% Medium Conservative
- Reliability
75% ReliableGood
- Policy Leaning
8% Center
- Politician Portrayal
-38% 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
10% 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:
70% : She won her first election in 2003, right when Trump was taping the first season of his career-resuscitating TV show, "The Apprentice.60% : Cooley and Harris exchanged views on three-strikes sentencing, whether to defend possibly unconstitutional ballot initiatives in federal court, enforcing immigration laws and more.
51% : And that's unfortunate, because the debate provided a clear, substantive contrast between the candidates at a pivotal time for criminal justice reform in California.
33% : I re-watched both debates this week, looking for clues on what to expect against Trump on Tuesday.
21% : With Trump on the stage, no one expects a debate like that Tuesday.
*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.