GOP candidates in Oakland County, once a party stronghold, try to turn the tide on the blue wave
- Bias Rating
30% Somewhat Conservative
- Reliability
50% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-23% 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
18% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
55% : "Eggert said she was raised by Democrats and waffled between parties each election until 2016 where Trump "opened" her eyes to her own core values.52% : "Compared to her, I'm not gonna give her a platform of her name, Trump offers more to the Black community.
45% : "The Black community, particularly Black men, have had their eyes opened by Trump, Eggert said.
42% : George H. W. Bush was the last Republican to take the state in 1988 before Trump pulled out a surprise win over former Secretary of State Hillary Clinton.
41% : But the values they both instilled in her are ones that ring true in Trump's and other Republican campaigns: to work hard, get educated, and help others.
38% : I do not believe in just social services that are so ... imposed upon Black America," Eggert said, who remembered watching Trump on the debate stage in 2016 and thinking, "My Lord, I'm part of his group.
14% : As an immigrant from Liberia, Eggert says Trump is offering immigrants and Black voters more in November, and she believes Harris is not connecting with Black voters.
12% : Whereas Trump is "his own man," Harris was propped up by national Democrats, she said, noting that President Joe Biden dropped out after the primary this year, which led to Harris becoming the Democratic nominee.
*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.