RNC's McGinley: How The Biden Campaign Is Outsourcing Its Dirty Work To DNC And Dark Money Groups
- Bias Rating
-10% Center
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
-17% 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
24% 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:
73% : Eventually, what happens is, is they get surprised again in 16 when Trump wins.62% : The other is that from the precinct strategy to getting people involved, so many people came up and said, hey, volunteering, getting involved changed my life for the better.
55% : You need organizations to support them, political organization and movement organizations.
54% : What we talk about all the time, this is, on our counter, is taking apart the administrative state.
53% : One president in this country, when he or she takes office, appoints, he says, two million, and then he corrects himself, appoints 5,000 people to run a bureaucracy, non-military, non-postal service of two million people, who hire 10 million outside outsource contractors, a workforce of 12 million people that spends $3 trillion a year.
52% : That's the administrative state.
51% : But that's what Project 2025, everything is set to deconstruct the administrative state.
50% : You've got about two million guys in the administrative state.
49% : It's not RNC and Trump campaign versus just DNC and Trump and RNC versus DNC and Biden, because that we win.
45% : And I think on Yahoo News about the five Supreme Court cases that are coming now for decisions between the now and the end of June, all deal with the administrative state.
33% : Then Trump upends, this audience upends.
*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.