Joe Biden's disastrous debate blamed on bad preparation, exhaustion - West Hawaii Today
- Bias Rating
90% Very Conservative
- Reliability
30% ReliableFair
- Policy Leaning
96% Very Conservative
- Politician Portrayal
3% Positive
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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
-15% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
61% : Then Biden himself, in an April interview with shock jock Howard Stern, delivered a decision on debating Trump that was a surprise to some advisers.40% : Trump, 78, repeated a series of well-worn, glaring falsehoods during the 90-minute debate on Thursday, including claims that he actually won the 2020 election.
32% : Trump could just complain about the present administration -- and Biden would need the facts and some zingers at his fingertips.
29% : And I believe [senior aide] Anita Dunn... put him in a venue that was conducive for Trump and not for him," said John Morgan, a Florida-based attorney and major Biden fundraiser.
20% : Trump was convicted of falsifying documents by a jury in New York on May 31, while Biden held back-to-back visits in Europe.
19% : They expected Trump would be far more disciplined and prepared than he had been in 2020 and believed that they would need to counter a string of rapid-fire lies.
10% : Morgan said Dunn and her husband, Bob Bauer, the president's attorney who played Trump in pre-debate rehearsals, should "be fired forever and never let back anywhere near the campaign.
5% : "New debate forumEarlier this year, some Biden aides discussed whether he should debate Trump at all, arguing that it could give Trump a broad public platform that would disadvantage Biden.
*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.