
LA Times Editorial Page Editor Resigns After Paper Skips Presidential Endorsement | Exclusive
- Bias Rating
- Reliability
75% ReliableGood
- Policy Leaning
40% Somewhat Right
- Politician Portrayal
-22% Negative
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Bias 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
-7% Negative
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Conservative

Contributing sentiments towards policy:
41% : How could we spend eight years railing against Trump and the danger his leadership poses to the country and then fail to endorse the perfectly decent Democrat challenger -- who we previously endorsed for the US Senate?26% : I told myself that presidential endorsements don't really matter; that California was not ever going to vote for Trump; that no one would even notice; that we had written so many "Trump is unfit" editorials that it was as if we had endorsed her.
*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.