Uphold integrity, avoid impropriety: key rules of supreme court ethics code

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Published Nov 14, 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.
45% 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.

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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.

-16% Somewhat 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.

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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 Good for a higher number of total sources.
  • Multiple Quotes as Excellent for a very high number of quotes used in the article.
  • Quote Length as Poor for the lower 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 -16% Liberal:

  • 1 positive sentiment and 1 negative sentiment for Criminal justice.
  • 1 positive sentiment for Government Interference


Policies:

Government Interference
Criminal justice

Sentiments

  •   Liberal
42% "Summary of the main points, at a glance:This short clause states that justices should respect and comply with the law, and act at all ..."
-10% "A three-pronged requirement covering respect for the law, not allowing family, social, political, financial, or other relationships to influence their conduct or judgment; and ..."

*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:

71% : Summary of the main points, at a glance:This short clause states that justices "should respect and comply with the law, and act at all times in a manner that promotes public confidence" in the court.
45% : A three-pronged requirement covering respect for the law, not allowing "family, social, political, financial, or other relationships" to influence their conduct or judgment; and not being a member of any group that discriminates on the grounds of race, sex, religion or nationality.

*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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