California Voters, Newsom React to Trump's Win
- Bias Rating
38% Somewhat Conservative
- Reliability
45% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-10% 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
-3% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
Conservative
Contributing sentiments towards policy:
53% : One voter who moved to California from New York this year -- Brandon Mach, 36, of Santa Rosa -- said the local measures and state propositions -- including those related to affordable housing -- were some of the most important ballot items.51% : He said the public safety measure, Prop. 36 was a step too far.
40% : He also said Trump will be better equipped to manage the border and deal with adversarial governments -- like the Chinese Communist Party.
35% : Also stuck in the lengthy queue, Eric Check, 46, an agricultural equipment operator in Merced, told The Epoch Times that the economy was the issue that drove him to vote for Trump this year after skipping the 2020 election.
23% : "To be blunt, I'd rather see Trump just go away," Mach said.
20% : A second-time voter expressed disappointment with the outcome -- lamenting the loss of Vice President Kamala Harris to Trump -- and said the nation and the state could be impacted by voters' choices.
*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.