Stat (News) Article Rating

Exceptions to abortion restrictions often fail people like Kate Cox whose babies are sure to die

Dec 13, 2023 View Original Article
  • Bias Rating

    -50% Medium Liberal

  • Reliability

    90% ReliableExcellent

  • Policy Leaning

    -50% Medium 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

-9% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

69% : Pregnancy continuation with palliative care can be a beautiful and compassionate choice that I champion through research, advocacy, and clinician education.
67% : The case casts a glaring light on the futility and confusion tied to medical exceptions within anti-abortion laws that seek to regulate the most painful pregnancy complications.
61% : As states persist in tightening abortion restrictions, and with a potential national ban on the horizon, it is crucial for policymakers and voters to recognize the inherent flaws in relying on medical exceptions within anti-abortion laws.
54% : In the end, Kate Cox had to travel out of state for the necessary care due to the ineffectiveness of medical exceptions in anti-abortion laws.
53% : But Kate Cox's case in Texas this week serves as a stark wake-up call to the nation: This could happen to you or someone you care about, and medical exceptions to anti-abortion laws won't offer a safe haven.
48% : Shannon had to drive 11 hours and pay thousands of dollars, even after charitable assistance and employer insurance, to receive abortion care out of state.
47% : But what happens to those who face a life-limiting fetal diagnosis but can't travel out of state?

*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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