Walz accelerates his preparations for upcoming debate with Vance
- Bias Rating
10% Center
- Reliability
60% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
2% 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
-4% Negative
- 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:
30% : Harris's performance against Trump was praised by Democrats and even some Republicans, as the vice president succeeded in getting under Trump's skin as she needled him on his crowd sizes and legal troubles.22% : He and his aides view the debate as an extension of the campaign rallies and interviews he has participated in over the last month, and they expect him to focus not only on the contrast between Harris and Trump, but also between him and Vance.
18% : After the debate ended, Harris challenged Trump to another debate, and the former president wavered before declaring that since he had prevailed in the first matchup, he saw no reason for a second one.
10% : Philippe Reines, who was initially cast as Vance when Harris was still Biden's running mate, transitioned to play Trump in Harris's presidential debate preparations.
*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.