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Miner Rio Tinto to test 'new frontiers' as copper age dawns

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Source Financial Times bias rating
Published Aug 06, 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.
55% 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.

8% Center

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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.

8% Center

Extremely
Liberal

Very
Liberal

Moderately
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Somewhat Liberal

Center

Somewhat Conservative

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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

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Opposite Viewpoint
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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 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 Excellent for a very high 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 8% Conservative:

  • 1 negative sentiment for Non-renewable energy
  • 1 negative sentiment for Taxes

Policies:

Non-renewable energy
Taxes

Sentiments

  •   Liberal
  •   Conservative
-8% "This involves mining beneath the copper ore body, rather than adjacent to it and allowing broken ore to collapse into pre-constructed tunnels, which can ..."
-16% "Eleni Joannides, copper research director at Wood Mackenzie, points to a plethora of risks, including new governments in important mining regions, potential changes to ..."

*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:

46% : This involves mining beneath the copper ore body, rather than adjacent to it and allowing broken ore to collapse into pre-constructed tunnels, which can then be extracted and taken to the surface.
42% : Eleni Joannides, copper research director at Wood Mackenzie, points to a plethora of risks, including new governments in important mining regions, potential changes to tax and royalties, and uncertainty over permits.

*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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