Commentary: Affirmative action ruling demands earlier intervention for equal college access
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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:
55% : Affirmative action was a response to the fact that many people face a multitude of inequities throughout their lives, often perpetuated by historical systemic racism such as redlining that impedes wealth accumulation and health.41% : With affirmative action policies gone, universities must get rid of legacy policies, and lawmakers need to ensure that students who start out with fewer resources end up on a level playing field.
38% : A few weeks before the Supreme Court ruled that race-based college admission policies were unconstitutional, Florida native Jon Wang claimed on Fox Nation that he was rejected from MIT, Caltech, UC Berkeley and other elite colleges because of affirmative action.
37% : Social media buzzed with sympathy, with many claiming that Wang's rejections were proof of the need to ban 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.