Bruce Allen testified that NFL counsel said Commanders leaked Gruden emails

  • Bias Rating

    -22% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    N/A

  • Politician Portrayal

    20% Negative

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.

Sentiments

Overall Sentiment

N/A

SentenceSentimentBias
"Following the stories about the emails in the Journal and the Times, Rep. Carolyn B. Maloney (D-N.Y.), the committee chairwoman, and Rep. Raja Krishnamoorthi (D-Ill.) sent a five-page letter to Goodell requesting all documents and communication related to Wilkinson's investigation."
Positive
18% Conservative
"Following the stories about the emails in the Journal and the Times, Rep. Carolyn B. Maloney (D-N.Y.), the committee chairwoman, and Rep. Raja Krishnamoorthi (D-Ill.) sent a five-page letter to Goodell requesting all documents and communication related to Wilkinson's investigation."
Positive
18% Conservative
"In a letter to Maloney, Tom Davis, an attorney with the firm that represents the Commanders, called the characterization a false narrative, but added the efforts of Snyder and the team to uncover evidence of unlawful conduct directed against him and his family were proper and separate from the NFL's workplace investigation."
Positive
2% Conservative
"In a letter to Maloney, Tom Davis, an attorney with the firm that represents the Commanders, called the characterization a false narrative, but added the efforts of Snyder and the team to uncover evidence of unlawful conduct directed against him and his family were proper and separate from the NFL's workplace investigation."
Positive
2% Conservative

Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

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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