Outrage and calls for inquiry into Seattle officer who joked about crash victim

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Published Sep 15, 2023
Reliability
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Biasly's Reliability Score provides a rating of the quality of sources and quotes used in the article including their uniqueness and diversity. Grades are computed on a scale from A to F with A being an Excellent Reliability.
Grade C50% Reliable
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.

-32% 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.

16% Negative

Opposite Viewpoint
Category

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:

  • 1 positive sentiment and 2 negative sentiments for Criminal justice.
  • 1 positive sentiment for Government Interference


Policies:

Government Interference
Criminal justice

Sentiments

  •   Liberal
  •   Conservative
10% "The consulate general of India in San Francisco tweeted that it has taken the deeply troubling matter up with authorities in Seattle and in ..."
6% "We need partners in law enforcement, not adversaries.""
-6% "The incidents are precisely why there is a lack of trust between the community and law enforcement, she said in a statement.""
-38% "It sullens the profession of law enforcement, the reputation of all Seattle Police officers and paints Seattle in a terrible light, the union said.""

*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.

Extremely
Liberal

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-100%
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Contributing sentiments towards policy:

55% : The consulate general of India in San Francisco tweeted that it has taken the "deeply troubling" matter up with authorities in Seattle and in Washington DC and that it wants a thorough investigation and action against those involved.
53% : "We need partners in law enforcement, not adversaries.
47% : The incidents are "precisely why there is a lack of trust between the community and law enforcement", she said in a statement.
31% : It sullens the profession of law enforcement, the reputation of all Seattle Police officers and paints Seattle in a terrible light," the union said.

*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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