Inside Higher Ed Article RatingSupreme Court Nominee Would Recuse Herself From Harvard Case
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
2% Center
- Politician Portrayal
12% Negative
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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
N/A
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
52% : That would leave only two justices on the court (Justice Elena Kagan and Justice Sonia Sotomayor) as presumed votes in favor of affirmative action.46% : In 2018, she recused herself from a suit by a Harvard librarian against the Environmental Protection Agency because "I was a member of the board of the university that employed the plaintiff."
*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.