Texas abortion pill ruling partly blocked by appeals court

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Published Apr 13, 2023
Source Analysis Score
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The Source Analysis Score focuses on assessing the quality of sources and quotes used including their number, lengths, uniqueness, and diversity.
50% ReliableFair
Bias Rating
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The Bias Rating is computed based on a number of factors including bias loaded words, sentiments towards certain political policies, author bias towards politicians, and the amount of tone found in the article.

-34% Moderately Liberal

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*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.

Policy Leaning
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The policy leaning score is derived from author biases for or against a certain political policy, as found in articles.

-46% Moderately Liberal

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*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.

Politician Portrayal
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The politician leaning score is determined by the author's tone and leaning towards the specific politician mentioned in the article.

36% Negative

Overall Sentiment

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Reliability Score Analysis

The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.

  • Opposite Sources as Poor for the lower number of sources with different viewpoints.
  • Unique Sources as Poor for the lower number of different sources.
  • Multiple Sources as Fair for an average number of total sources.
  • Multiple Quotes as Excellent for a very high number of quotes used in the article.
  • Quote Length as Good for a higher number of words used in each quote.

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.


Policy Leaning Analysis

This article includes the following sentiments, providing an average bias score of -46% Liberal:

  • 2 positive sentiments for Abortion


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 36% Negative and bias score of 10% Conservative:

1 negative sentiment for Donald Trump
1 negative sentiment for Joe Biden


Policies:

Abortion

Politicians:

Donald Trump
Joe Biden

Sentiments

  •   Liberal
26% "In his ruling, Judge Kacsmaryk used language pulled directly from anti-abortion activists, including referring to abortion providers as abortionists, abortion patients as post-abortive women, ..."
22% "In November, a group of anti-abortion activists filed a lawsuit against the FDA's approval of mifepristone and the way the agency has changed the ..."
-14% The appeals court panel - made up of George W Bush nominee Judge Catharina Haynes and two Donald Trump nominees Kurt Engelhardt and Andrew ..."
-22% The judge's ruling had been set to take effect in seven days - on 14 April - unless the appeals court intervened, prompting protests ..."

*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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Contributing sentiments towards policy:

63% : In his ruling, Judge Kacsmaryk used language pulled directly from anti-abortion activists, including referring to abortion providers as "abortionists", abortion patients as "post-abortive women," and a fetus as an "unborn human".
61% : In November, a group of anti-abortion activists filed a lawsuit against the FDA's approval of mifepristone and the way the agency has changed the rules around its use, making it easier to obtain.

*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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