TIME Article RatingHouse Republicans Nominate Steve Scalise for Speaker
- Bias Rating
-14% Somewhat Liberal
- Reliability
45% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
94% Negative
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
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
- 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:
74% : In a letter to his Republican colleagues seeking their support, Scalise outlined his achievements in advancing bills related to American energy production, border security, and parental involvement in education.52% : He joined a minority of House Republicans in voting for sending $300 million in aid to Ukraine and temporarily extending federal funding, even when such measures faced conservative opposition.
48% : Without an elected Speaker, lawmakers have been unable to take action on approving aid for Israel or Ukraine, and are yet to pass the necessary spending bills before current funding runs out on Nov. 17.
*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.