Los Angeles Times Article RatingEditorial: Give voters a chance to fix California's recall system
- Bias Rating
-46% Moderately Liberal
- Reliability
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- Policy Leaning
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- Politician Portrayal
46% Negative
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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
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| Sentence | Sentiment | Bias |
|---|---|---|
| "Many Republicans acknowledged as much during the Newsom recall campaign, saying they saw an opportunity to win the state's top office that wouldn't exist in a regular race in this blue state." | Positive | 14% Conservative |
| "Gov. Gavin Newsom won resoundingly with 62" | Positive | 8% Conservative |
| "Imagine that 49" | Positive | 2% Conservative |
| "Newman -- the Orange County legislator who was recalled in 2018 won his seat back in 2020 and wrote this measure to change the recall -- told a Times editorial board member that he will probably wait to try to put it on the ballot in 2024 instead." | Negative | -2% Liberal |
| "For instance, state Sen. Josh Newman (D-Fullerton) was recalled in 2018 because only 42" | Negative | -8% Liberal |
| "In raw numbers it worked out like this: 66,197 people voted to keep Newman, and 50,215 voted to elect Chang." | Negative | -26% Liberal |
| "But Chang won and Newman lost." | Negative | -36% Liberal |
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Contributing sentiments towards policy:
% :*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.