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Guzzardi: Nothing learned from debate

Sep 18, 2024 View Original Article
  • Bias Rating

    50% Medium Conservative

  • Reliability

    25% ReliablePoor

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    5% Positive

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

31% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

59% : Under Trump, foreign-born employment growth increased 7.5%; under Biden-Harris, 14.2%.
59% : Harris could, Trump noted, proceed directly back to the White House and "do the things
50% : Foreign-born workers as a percentage of all employment under Trump, 17.4%; under Biden-Harris, 19.6%.
39% : Sign Up for NewslettersEmail*Select Newsletters to Sign Up ForNews UpdatesBreaking NewsSports DigestObituaries and Death NoticesSubmitTrump failed to bring the economy back into his spotlight, even though the Bureau of Labor Statistics reports provide him with ample fodder.
36% : Trump, who won the pre-debate coin flip, chose to deliver the last words.
31% : Having to debate not only Harris but the meddlesome moderators Muir and Davis, Trump had to deal with three rivals at once.
31% : Muir and Davis continuously fact checked Trump but let Harris' misstatements stand, unchallenged.
27% : Harris exceeded her low expectations, and Trump missed several opportunities to put distance between him and his rival.
17% : Instead of hammering Harris with hard data about his strengths, Trump got suckered into silly back and forth squabbling about whose campaign events drew larger audiences or defending his behavior on Jan. 6, 2021, which a mob of his supporters stormed the U.S. Capitol.

*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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