In Affirmative Action Ruling, Black Justices Take Aim at Each Other
- Bias Rating
-8% Center
- Reliability
80% ReliableGood
- Policy Leaning
-8% Center
- Politician Portrayal
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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.
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Contributing sentiments towards policy:
60% : In an extraordinary exchange that played out among the pages of a landmark decision by the Supreme Court declaring race-conscious admissions at colleges and universities across the nation unlawful, two Black justices battled over the merits of affirmative action.58% : But their interpretation of the law and their understanding of affirmative action and its role in American life could not be farther apart.
49% : Justice Thomas castigated Justice Jackson's backing of affirmative action, describing it as a panacea where society would "unquestioningly accede to the view of elite experts and reallocate society's riches by racial means as necessary to 'level the playing field.'"Although he acknowledged that "our society is not, and has never been, colorblind," he deemed wealth gaps between Black and white Americans "constitutionally irrelevant."
37% : In his concurring opinion, Justice Thomas called out Justice Jackson directly in a lengthy critique, singling out her views on race and leveling broader criticisms of liberal support for affirmative action.
*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.