Daily Mail Online Article Rating

Newsom's infuriating reaction as he's asked why fire hydrants ran out

Jan 09, 2025 View Original Article
  • Bias Rating

    90% Very Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    42% Medium Conservative

  • Politician Portrayal

    -43% 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% : 'Governor Gavin Newscum refused to sign the water restoration declaration put before him that would have allowed millions of gallons of water, from excess rain and snow melt from the North, to flow daily into many parts of California, including the areas that are currently burning in a virtually apocalyptic way.'Trump added: '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.
42% : 'I told him from the first day we met that he must 'clean' his forest floors regardless of what his bosses, the environmentalists, DEMAND of him,' Trump posted.'Must also do burns and cut fire stoppers,' he added, in reference to forest management policies that were being overlooked.
5% : Newsom is widely seen as a potential Democratic presidential candidate in 2028Gov. Gavin Newsom tours a home destroyed in the Kincade Fire in 2019, when he promised to reboot the state's approach to blazesOthers shared old tweets from Donald Trump, who as president in 2019 slammed Newsom for a 'terrible job of forest management' and failing to clean wooded areas of brush that can lead to blazes.

*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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