KCRA 3 Article Rating- Bias Rating
22% Somewhat Conservative
- Reliability
N/AN/A
- Policy Leaning
16% Somewhat Conservative
- Politician Portrayal
42% Negative
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
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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 |
|---|---|---|
| "Temperatures have been so high that residents have been asked for three consecutive days to conserve power during late afternoon and evening hours when solar energy declines." | Negative | -8% Liberal |
| "Temperatures have been so high that residents have been asked for three consecutive days to conserve power during late afternoon and evening hours when solar energy declines." | Negative | -8% Liberal |
| "Gov. Gavin Newsom issued a state of emergency in Siskiyou County due to the rapidly-spreading fire." | Negative | -22% Liberal |
| "Gov. Gavin Newsom issued a state of emergency in Siskiyou County due to the rapidly-spreading fire." | Negative | -22% Liberal |
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% : Temperatures have been so high that residents have been asked for three consecutive days to conserve power during late afternoon and evening hours when solar energy declines.46% : Temperatures have been so high that residents have been asked for three consecutive days to conserve power during late afternoon and evening hours when solar energy declines.
*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.