UK unveils new extremism definition amid rise in hate crimes...

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Published Mar 14, 2024
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.
35% 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.

-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.

-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.

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

-33% Negative

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 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 -10% Liberal:

  • 1 positive sentiment for Anti-Discrimination Laws
  • 1 positive sentiment for Abortion


Policies:

Anti-Discrimination Laws
Abortion

Sentiments

  •   Liberal
28% "Groups which will be identified as extremist following a robust assessment over the next few weeks will not be subject to any action under ..."
22% "Tell Mama, a group which monitors anti-Muslim incidents, said last month that anti-Muslim hate crimes also had grown by 335% since the attacks.""

*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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Contributing sentiments towards policy:

64% : Groups which will be identified as extremist following a "robust" assessment over the next few weeks will not be subject to any action under criminal laws and will still be permitted to hold demonstrations.
61% : Tell Mama, a group which monitors anti-Muslim incidents, said last month that anti-Muslim hate crimes also had grown by 335% since the attacks.

*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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