Independentsentinel Article RatingMonths Ago Trump Blasted Newsom on Fires & He Was Right
- Bias Rating
66% Medium Conservative
- Reliability
40% ReliableFair
- Policy Leaning
86% Very Conservative
- Politician Portrayal
-24% 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
-2% 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:
46% : Upon reflecting, I remembered a conversation that Joe Rogan had with Donald Trump before the election about the state of wildfire management in California.36% : "Now let's look at specifically what Trump was referring to here.
23% : "And Donald Trump pointed out that there's two things that we've done in California that might be exaggerating the effects of these fires.
17% : Trump specifically discussed the Californian Delta Smelt controversy, where rainwater is wasted by being directed into the Pacific Ocean to protect a "You know, in Los Angeles, you can't get proper amounts of water.
8% : Trump blasted Gavin Newsom months ago for doing nothing to fix the problem of fires.
*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.