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Liberty Nation Article Rating

Halloween SCOTUS Affirmative Action Battle: Asians Need Not Apply - Liberty Nation

  • Bias Rating

    70% Medium Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    2% Negative

Bias Score Analysis

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

Overall Sentiment

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  •   Conservative
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

66% : Well, here we are, almost a quarter of a century later, and affirmative action is going strong.
63% : Justice Thomas's entire dissent is a remarkable rebuke of affirmative action I wished every American would read.
59% : It's fair to say that only an extraordinary change of mind could justify Thomas voting to sustain affirmative action, given his past writings.
56% : This case is considered crucial to the future of affirmative action policies and could extend, eliminate, or define the policy of affirmative action for decades to come.
56% : SC: I predict affirmative action will end when this case is adjudicated.
48% : Scott, some states already ban affirmative action, but institutions of higher learning have found myriad ways to get around these laws, essentially gutting the purpose of the measures.
46% : As with abortion and guns, the current composition of the Court, including Donald Trump's three appointees, favor rulings grounded in the law as written.
44% : Justice Sotomayor, on the other hand, has given us strong reason to believe she will vote to keep racial discrimination as affirmative action legal.
41% : Since this is widely considered to be a conservative court, do you think there's a chance we might see a decision ending 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.

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