Gavin Newsom Takes Melodramatic Shot at Trump While Standing in Front of Burning Houses

  • Bias Rating

    96% Very Conservative

  • Reliability

    65% ReliableAverage

  • Policy Leaning

    96% Very Conservative

  • Politician Portrayal

    -27% Negative

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

Overall Sentiment

-36% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

44% : " For context, Newsom's comments about Trump came after the president-elect took to Truth Social, making a series of posts blasting Newsom's leadership -- or lack thereof -- for the fires.
37% : " Trump is not "politicizing" these fires by simply reminding Americans how California got to this point.
29% : "[Trump] wanted to politicize it.
29% : January 20th cannot come fast enough!" Trump followed this with another post about how containment efforts were going.
27% : He wanted to protect an essentially worthless fish called a smelt, by giving it less water (it didn't work!), but didn't care about the people of California," Trump wrote.
22% : He did so on the basis of the Endangered Species Act, claiming it applied to the delt smelt, or "worthless fish" mentioned by Trump.
11% : Newsom concluded feigning outrage over Trump by trying to contrast his behavior with President Joe Biden, with whom he had made an appearance, saying, Biden "didn't play politics" and "had the backs of every single person in this community.
4% : In another post, Trump continued to take aim at Newsom and Biden: "The fires in Los Angeles may go down, in dollar amount, as the worst in the History of our Country.

*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.

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