Here's how you're subsidizing left-wing advocacy in the Supreme Court

Jan 24, 2024 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    30% ReliableFair

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    30% 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

27% Positive

  •   Liberal
SentenceSentimentBias
"Covington, for its part, brags that it stopped the Trump administration from determining how many illegal aliens reside in America, litigates to stop voter ID, and defends sanctuary cities."
Negative
-66% Liberal
"I faced this endlessly as an attorney in the Trump White House, where the Left used the courts to demand, among other things, an open border, an end to abundant and reliable energy, and the erasure of women, including women's sports."
Positive
4% Conservative
"Sure, they parrot leftist slogans and kneel before the ESG gods so their companies can continue to secure low-interest loans and do business with Biden's cash cow agencies."
Positive
4% Conservative
"Covington, for its part, brags that it stopped the Trump administration from determining how many illegal aliens reside in America, litigates to stop voter ID, and defends sanctuary cities."
Negative
-36% Liberal

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
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Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

17% : Covington, for its part, brags that it stopped the Trump administration from determining how many illegal aliens reside in America, litigates to stop voter ID, and defends sanctuary cities.

*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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