Kamala Harris stakes closing election pitch on joy, warnings and women voters
- Bias Rating
32% Somewhat Conservative
- Reliability
50% ReliableFair
- Policy Leaning
46% Medium Conservative
- Politician Portrayal
5% Positive
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
18% 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:
46% : Polls have consistently shown women overwhelmingly back Harris, while a similar percentage of men support Trump.38% : She has extended an olive branch to centrist Republicans who are disillusioned with Trump, insisting she would put "country over party" as president.
32% : Top Harris advisers maintain the strategy is working, in part because Trump has spent the final days of his own campaign wrestling with a backlash to racist and misogynistic remarks from speakers at his Madison Square Garden rally.
24% : "The Harris campaign has for weeks sought to craft a message that paints an optimistic vision of America's future and warns of what they see as the threat Trump -- who is already casting doubt on the results of next week's election -- poses to US democracy.
*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.