Ex-Bush official suggests how Donald Trump can win debate
- Bias Rating
8% Center
- Reliability
35% ReliableFair
- Policy Leaning
4% Center
- Politician Portrayal
4% 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
4% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
86% : Harris and Trump are set to meet in person for the first time on Tuesday during the ABC News-hosted debate in Philadelphia.55% : An average of recent polls compiled by FiveThirtyEight showed Harris with a small national lead of 2.9 percent over Trump as of Monday evening.
46% : A Pew Research Center survey released on Monday found that Trump holds a 7 percentage point advantage over Harris among registered voters who were asked which candidate would "make wise decisions about immigration policy.
45% : While it is unclear whether Jennings' message would be a successful strategy for Trump, polling suggests that the former president does have an edge on economic and immigration issues.
42% : "When voters were asked who would "make good decisions about economic policy, " Trump had a 10-point lead over Harris.
34% : "In a statement emailed to Newsweek, Trump Campaign Senior Advisor Jason Miller said that Harris will be facing "high-bar expectations" at the debate due to a strategy to "hide from the press" and avoid Biden's record while promising that Trump would be "educating" voters about her policy positions on Tuesday.
29% : "Harris and Trump were tied in the November election at 49 percent each in the Pew poll, while the overall polling picture showed the candidates in a dead heat one day before the debate.
*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.