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Further Evaluation of the Arguments Raised in the Recent North Carolina Independent-State-Legislature (ISL) Application Filed in the U.S. Supreme Court: Part Four in a Series
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.
48% : After floating around these potential routes for curbing partisan gerrymandering, including the passage [on state courts and enforcement of state constitutions] cited by Respondents, the Court expressly said "[w]e express no view on any of these pending proposals. . .
*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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