What do you need to get into college? How 'objective' assessments fail students.

Jul 06, 2023 View Original Article
  • Bias Rating

    -58% Very Liberal

  • Reliability

    65% ReliableFair

  • Policy Leaning

    -58% Very Liberal

  • Politician Portrayal

    N/A

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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
Positive
32% Conservative
Positive
28% Conservative
Positive
18% Conservative
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

66% : Affirmative action gave higher education opportunities to thousands of first-generation students of color and changed the trajectory of many families and of our country.
64% : In that regard, affirmative action has always existed - affirming privilege.
59% : What SCOTUS decision means for colleges: Supreme Court ends affirmative action in admissions.
57% : Just as swiftly, the beneficiaries of affirmative action were resented and marginalized for their sudden narrow advantage.
57% :Affirmative action wasn't a handout.
49% : And they stigmatized African American students, whether or not they were the beneficiaries of affirmative action.
48% : What if all the conservative justices on the Supreme Court cared to acquaint themselves with the fact that affirmative action was never more than an adjustment to a system that never had anything to do with equal access?
32% :Affirmative action in college admissions has been around since the mid-1960s, intended to accomplish the impossible - obliterate the grotesque exclusivity of higher education throughout the United States resulting from the systematic and savage discrimination on which our nation's economic disparities were constructed.

*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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