A path to victory in the wokeism war
- Bias Rating
36% Somewhat Conservative
- Reliability
N/AN/A
- Policy Leaning
42% Medium Conservative
- Politician Portrayal
-60% 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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
61% : It shall not be regarded as legitimate to withhold state accreditation from K-12 private schools because they teach something that is banned in public schools.50% : Over the period between the establishment of the 1967 Philadelphia Plan, allowing a very clearly delineated and reluctant exception to the 14th Amendment to create affirmative action in government hiring, and the publication of Ta-Nehisi Coates's "The Case for Reparations" in the Atlantic in 2014 -- in other words, during the period when colorblindness theory was dominant among the American elite -- things got better at a historically aberrant and welcome pace.
41% : Many opponents of the theory would quite happily endorse history curricula that stress the Founders' slave-owning, atrocities against Native Americans, red-lining under the New Deal, and other historical racist practices with still-extant effects.
39% : This applies narrowly to race and not sex or national origin or sexual orientation or gender identity, though it is virtually always socially and civically inappropriate in practice to do so with regard to those as well.
27% : Here's Obama campaign veteran and political data analyst David Shor: "White liberals are more left-wing than black and Hispanic Democrats on pretty much every issue: taxes, healthcare, policing, and even on racial issues or various measures of 'racial resentment.'
*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.