Robin Thicke and Ken Jeong back on set after Giuliani reveal

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Published Feb 04, 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.

92% Extremely 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.

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.

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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.

98% 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.


Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 98% Negative and bias score of -92% Liberal:

3 negative sentiments and 6 positive sentiments for Kenneth Holmlund
6 negative sentiments for Donald Trump
1 negative sentiment for Joe Biden


Politicians:

Kenneth Holmlund
Donald Trump
Joe Biden

Sentiments

28% 'Ken has been incredibly vocal about how the previous administration handled many things but especially COVID-19 and has found a lot of what they've ..."
22% Robin actually followed him because he and Ken are very close friends and he wanted to check on him."
16% Ken earned a medical degree from the University of North Carolina at Chapel Hill and practiced medicine for several years in Los Angeles before ..."
2% However, Ken and Robin received a hot and cold reception for their swift exit following Giuliani's reveal.nn"
2% A source close to the production told Deadline that eventually Ken and Robin returned to the judges panel after the reveal.nn"
2% And they're back: Robin Thicke and Ken Jeong pictured on set of The Masked Singer for the first time after they 'stormed off in ..."
-20% Meanwhile, the other judges, Jenny McCarthy and Nicole Scherzinger, are said to have remained on stage and even engaged in banter with Donald Trump's ..."
-22% Ken was super upset and indeed stormed out,' a source told the outlet. '"
-22% He was subpoenaed to testify in Trump's impeachment after reporting the contents of the call.nn"
-100% """

We have listed the top 10 sentiments. More sentiments do exist. Please review the full article for more information.


*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:

% :

*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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