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Factbox: Japan aims to become major offshore wind energy producer

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Source Reuters bias rating
Author
Yuka Obayashi, Katya Golubkova
Published Jun 30, 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.
25% ReliablePoor
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.

-6% Center

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-100%
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100%
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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.

-22% Somewhat Liberal

Extremely
Liberal

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Liberal

Moderately
Liberal

Somewhat Liberal

Center

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-100%
Liberal

100%
Conservative

*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.

N/A

Overall Sentiment

N/A

Opposite Viewpoint
Category
Topic

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 Excellent for a very high 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.

Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 0% Neutral and bias score of N/A:

2 negative sentiments for Dianne Feinstein
1 negative sentiment for Eric Early
1 negative sentiment for Adam Schiff
1 negative sentiment for Katie Porter
1 negative sentiment for Barbara Lee

Policies:

Clean Energy

Politicians:

Dianne Feinstein
Eric Early
Adam Schiff
Katie Porter
Barbara Lee

Sentiments

22% "Marubeni won these projects with the feed-in tariff program for renewable energy, before the government enforced a new law in 2019 to enhance development ..."
-4% A former Google executive has launched a campaign for California Sen. Dianne Feinstein's (D) seat, which she is vacating following the 2024 elections, adding ..."
-12% GOP attorney Eric Early, who unsuccessfully ran for state attorney general twice and for Congress once, has already jumped in the race."
-14% With Feinstein's impending retirement from her seat after three decades, the race for her successor will be hotly contested."
-50% Adam Schiff, Katie Porter and Barbara Lee in the contest."
-50% Adam Schiff, Katie Porter and Barbara Lee in the contest."
-50% Adam Schiff, Katie Porter and Barbara Lee in the contest."

*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%
Liberal

100%
Conservative

Contributing sentiments towards policy:

61% : Marubeni won these projects with the feed-in tariff program for renewable energy, before the government enforced a new law in 2019 to enhance development of offshore wind farms outside of port areas, introducing a public auction scheme.

*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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