HK passes bill to charge people for waste disposal

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Published Aug 26, 2021
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.

-10% 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.

14% Somewhat Conservative

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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.

N/A

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 14% Conservative:

  • 1 negative sentiment for Public Education Spending


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 Gretchen Whitmer


Policies:

Public Education Spending

Politicians:

Gretchen Whitmer

Sentiments

  •   Conservative
-14% "Regina Ip agreed that the preparatory period is necessary as grassroots residents and the catering sector have concerns about charging for waste and the ..."
-16% The first prison sentence in the alleged plot to kidnap Michigan Gov. Gretchen Whitmer was handed down Wednesday afternoon when US District Court Judge ..."
-26% Given a chance to address the court, Garbin said he wanted to "apologize to Gretchen Whitmer and her family," adding, "I can't imagine the ..."

*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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Moderately
Liberal

Somewhat Liberal

Center

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Moderately
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Very
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Extremely
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-100%
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Contributing sentiments towards policy:

43% : Regina Ip agreed that the preparatory period is necessary as grassroots residents and the catering sector have concerns about charging for waste and the government needs to work harder on promoting the bill, as well as on public education to enhance public awareness in waste reduction.

*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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