Skin lesion removed from Joe Biden's chest was cancerous, doctor says

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Published Mar 03, 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.
20% 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.

-56% Very Liberal

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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.

34% Negative

Overall Sentiment

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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 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 34% Negative and bias score of -56% Liberal:

1 negative sentiment and 4 positive sentiments for Joe Biden
2 negative sentiments for Kevin O'Connor


Politicians:

Joe Biden
Kevin O'Connor

Sentiments

24% Mr Biden had "several localised non-melanoma skin cancers" removed from his body before he started his presidency, Dr O'Connor said in his February 16 ..."
24% Mr Biden had "several localised non-melanoma skin cancers" removed from his body before he started his presidency, Dr O'Connor said in his February 16 ..."
4% Mr Biden, 80, was deemed by Dr O'Connor to be "healthy, vigorous" and "fit" to handle his White House responsibilities during the check-up, which ..."
4% He said the site of the removal on Mr Biden's chest has "healed nicely" and the president will continue regular skin screenings as part ..."
-18% A skin lesion removed from President Joe Biden's chest last month was a basal cell carcinoma -- a common form of skin cancer, his ..."
-20% White House doctor Kevin O'Connor said it was a basal cell carcinoma - a common form of skin cancer - and no further treatment ..."
-28% White House doctor Kevin O'Connor said "all cancerous tissue was successfully removed" during the president's routine physical examination on February 16.nn"
-100% """

*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
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Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
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-100%
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100%
Conservative

Contributing sentiments towards policy:

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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.

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