Trump blames wildfires on California governor who 'chose saving fish over water'
- Bias Rating
10% Center
- Reliability
5% ReliablePoor
- Policy Leaning
10% Center
- Politician Portrayal
-8% 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
-36% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
40% : '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,' wrote Trump on his Truth Social platform on Wednesday morning.40% : Trump claimed that Californians are now paying 'the ultimate price' for their governor's decision during his first term in the White House.
20% : In January 2019, Trump threatened to stop sending federal funds to the Golden State if it did not reform its forest management services.
18% : He is the blame for this,' Trump wrote.
17% : A true disaster!'Trump appeared to be referencing a presidential moratorium he signed in February 2020 aimed at diverting water in Northern California to the southern part of the state and central farmland region.
14% : Trump on Wednesday afternoon also took a shot at Biden, writing on Truth Social: 'NO WATER IN THE FIRE HYDRANTS, NO MONEY IN FEMA.
6% : Trump accused Newsom of prioritizing a 'worthless' species of fish over allowing more water to flow to Southern California.
6% : During his first term, Trump repeatedly criticized Newsom on his handling of wildfires across the state.
*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.