Column: The allure of Trump among California Republicans remains despite his depravity
- Bias Rating
50% Medium Conservative
- Reliability
60% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-43% 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
10% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
56% : One way to get attention is to say, 'I'm for Trump.46% : In Trump, he said, "they see someone who's willing to [speak up] about what's going on ...
42% : A poll of likely voters last month by the UC Berkeley Institute of Governmental Studies showed Harris leading Trump by 59% to 34%.
26% : But it's doubtful Trump will lose any hard-core supporters.
26% : "Republicans hate the left and Trump embodies someone who will fight back against the left," Stutzman said.
26% : "Former Republican strategist Ken Khachigian, who grew up on a Visalia walnut and grape farm, says Trump speaks to the proverbial "forgotten man.
24% : "Trump is on their team whether they like him or not."Actually, many Republican voters just hate Democratic politicians.
23% : In deep blue California, Trump received 6 million votes in 2020 -- more than in any other state, although he lost here by nearly 2 to 1.He'll lose California again on Nov. 5 but doesn't seem to have hemorrhaged supporters despite shameless behavior.
21% : In short, the debate may well have shown swayable voters that Harris is fit to be president -- and the ranting, scowling Trump is unfit.
9% : But Clinton never acted uncivilly and called his opponents "crooked" and "stupid" as Trump does.
5% : "Clinton and Trump both cheated on their wives.
*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.