SARAH VINE: This was Kamala's biggest mistake
- Bias Rating
-2% Center
- Reliability
35% ReliableFair
- Policy Leaning
N/A
- Politician Portrayal
-34% 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
-4% Negative
- 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:
88% : Harris should have immediately distanced herself, but she didn't - leaving an open goal into which Trump danced with characteristic flourish.69% : So Trump wins, and deservedly so.
30% : If Dr Frankenstein built opponent Trump could beat most easily, it would be KamalaThere are just as many who think that the safety of women is equally at risk from gender politics and the dangers and injustices posed by male-bodied individuals invading their sporting fields and safe spaces in the name of inclusivity.
7% : The moment Trump put on that hi-viz jacket and climbed, somewhat unsteadily, into a garbage truck was a piece of political genius, writes SARAH VINEOne of Harris's biggest mistakes, I think, was to assume that just because she was a woman of colour, that meant all women, of colour or otherwise, would naturally side with her, especially given Trump's ongoing problems with the likes of Stormy Daniels et al.
*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.