Taylor Swift SLAMS Kim Kardashian for 'taking her down'
- Bias Rating
22% Somewhat Conservative
- Reliability
15% ReliablePoor
- Policy Leaning
22% Somewhat Conservative
- Politician Portrayal
N/A
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
N/A
- 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:
48% : It appeared the pair were getting on as Kanye joked: 'You know how many times they announced Taylor was going to give me the award 'cause it got them more ratings?'Kanye claimed Taylor had consented to it but, after denying it, Kim also weighed in a released 'an illegally recorded phone call' between the pair which she claimed proved otherwiseHowever, Taylor later announced that his statement truly irked her, as he made out in public that it was for ratings, but in private, asked her to be on stage with him as it would 'mean so much.'Taylor later told Rolling Stone: 'I'm standing in the audience with my arm around his wife, and this chill ran through my body.41% : The rapper, 46, recently lost a slew of endorsement deals after a series of anti-Semitic remarks.
*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.