US To Cut 25% Steel Import Tariff On Japan

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Published Feb 09, 2022
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.
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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.

2% Center

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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.

4% Center

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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.

6% Negative

Overall Sentiment

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Opposite Viewpoint
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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 Poor for the lower number of total sources.
  • Multiple Quotes as Poor for the lower 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 4% Conservative:

  • 1 negative sentiment for European Union


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 6% Negative and bias score of -2% Liberal:

1 negative sentiment and 2 positive sentiments for Donald Trump
1 negative sentiment for Joe Biden


Policies:

European Union

Politicians:

Donald Trump
Joe Biden

Sentiments

  •   Conservative
4% The amount of steel that Japan exports to the United States has fallen considerably after the Trump-era additional tariff.nn"
4% The 10 percent additional aluminum tariff on imports from Japan, which the Trump administration introduced along with the steel tariff in 2018, will remain ..."
-2% "This agreement, combined with last year's resolution with the European Union, will help us combat China's anti-competitive, non-market trade actions in the steel sector, ..."
-6% "This agreement, combined with last year's resolution with the European Union, will help us combat China's anti-competitive, non-market trade actions in the steel sector, ..."
-12% The United States has reduced the 25 percent extra tariff on steel imports from Japan that was imposed by the Trump administration.nn"

*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

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
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100%
Conservative

Contributing sentiments towards policy:

47% : "This agreement, combined with last year's resolution with the European Union, will help us combat China's anti-competitive, non-market trade actions in the steel sector, while helping us reach President Biden's ambitious global climate agenda," United States Trade Representative Katherine C. Tai said in a statement.

*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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