California prepares for Trump 2.0: Here's how things will be different this time
- Bias Rating
10% Center
- Reliability
60% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
11% Positive
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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
11% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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100%
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Contributing sentiments towards policy:
51% : They're expected to approve the funding before Trump is inaugurated on Jan. 20.49% : "It requires us to be diligent to focus yes, on what happened in the past, but prepare for Trump 2.0, where his rhetoric is only heightened, and his call for retribution, revenge is pretty clear.
40% : Newsom, in his brief scrum with reporters, said he expects Trump to bring "a little more intensity and ferocity" to the battles with California.
36% : "It's not just the message from the top that's changed since the last time Trump entered the White House.
30% : When Trump won the presidency in 2016, the Legislature's most powerful Democrats issued a feisty statement vowing to "lead the resistance" against him.
21% : On the one hand, Gov. Gavin Newsom's decision to call the special session less than 36 hours after Trump won the election signaled the Democrat's yen to jump back into the fight against a Republican president he's long decried as a threat to California's liberal policies.
*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.