Appeals Court Sends Texas Abortion Law to State Supreme Court, Further Delaying Decision | National Review

Jan 18, 2022 View Original Article
  • Bias Rating

    98% Extremely Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    4% Center

  • 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

  •   Conservative
SentenceSentimentBias
"While other state-level bans on abortion before 24 weeks have been blocked by the courts due to Supreme Court precedent, the Texas law has a unique enforcement mechanism that allows any individual to sue anyone who knowingly performs or aids in an abortion after a fetal heartbeat has been detected, removing the responsibility of enforcement from the state's executive branch and placing it into the hands of citizens."
Negative
-12% Liberal
"The decision by the appeals court came with Judges Edith Jones, appointed by former President Ronald Reagan, and Kyle Duncan, appointed by former President Donald Trump, supporting sending the law back for review while it remains in effect."
Negative
-14% Liberal
"Judge Stephen A. Higginson, appointed by former President Barack Obama, opposed that ruling."
Negative
-18% Liberal
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Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

44% : While other state-level bans on abortion before 24 weeks have been blocked by the courts due to Supreme Court precedent, the Texas law has a unique enforcement mechanism that allows any individual to sue anyone who knowingly performs or aids in an abortion after a fetal heartbeat has been detected, removing the responsibility of enforcement from the state's executive branch and placing it into the hands of citizens.

*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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