James Carville, here's what you need to know about why Trump is winning
- Bias Rating
84% Very Conservative
- Reliability
45% ReliableFair
- Policy Leaning
34% Somewhat Conservative
- Politician Portrayal
-4% Negative
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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
22% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
42% : The main outcome I have observed from people I have spoken with across the political spectrum has been framed in a very telling question:"Why are the Biden White House and its allies so afraid to face Trump at the ballot box in a free, fair, and open election?"CLICK HERE TO GET THE FOX NEWS APPYour "spaghetti" does not stick, James, because it is over-cooked, overheated rhetoric that is insulting to the intelligence of the American people.39% : These voters are quickly connecting the "lawfare" and other partisan dots and logically asking themselves: "If the forces from the left can do this to a former president who is a billionaire, what would stop them from doing the same thing to me?"The "spaghetti" you speak of James, is not only not working - as you correctly point out - but is creating new Trump voters who may have been sitting out the election or leaning toward Biden but are shocked by the Democrats push to seemingly "Get Trump" at any cost.
33% : WARNS DEMOCRATIC PARTY SEEING 'HORRIFYING' NUMBERS SHOWING LOSS OF YOUNG MINORITY VOTERSWithin the body of a video shown on RealClearPolitics and other sites, James lamented the fact that: "Trump's more ahead than he's ever been...
*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.