How California's crisis could lead to a big political shift | Blaze Media
- Bias Rating
14% Somewhat Conservative
- Reliability
80% ReliableGood
- Policy Leaning
-6% Center
- Politician Portrayal
-25% 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
-3% 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:
58% : In the last presidential election, Trump did well in the heavily Latino inland counties and won the "Inland Empire" -- the metropolitan area bordering Los Angeles and Orange Counties - the first time a GOP presidential candidate has achieved this in two decades.56% : In fiscal year 2023-2024, California will spend about $128 billion on K-12 public education -- an amount exceeding the entire budget of every other state except New York.
56% : Today, one in nine California schoolchildren attend charter schools (including my younger daughter).
48% : Californians, by large majorities, recently passed bills to strengthen law enforcement, ditching liberalized sentencing laws passed by Democratic lawmakers and defended by Gov. Gavin Newsom (D).
45% : Two out of three California students do not meet math standards, and more than half do not meet English standards on state assessments.
*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.