Everything You Need to Know About Tonight's Presidential Debate
- Bias Rating
50% Medium Conservative
- Reliability
80% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-38% Negative
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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
10% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
57% : A coin flip last week - which Trump won - gave his campaign the opportunity to select podium position or order of closing arguments; it chose to have Trump give the final closing statement.46% : "Trump needs to present himself as a stable, strong candidate.
44% : The Harris camp is also saying that they want to engage Trump more directly, which is harder to do with her mic muted.
36% : "I think Democrats liked the rules because they would make it harder for Trump to trample over his opponent," Noel says.
31% : "But Trump is starting to find a line of attack.
30% : The last presidential debate in June between Trump and President Joe Biden ultimately led to Biden ending his reelection bid and Harris replacing him at the top of the ticket.
25% : A Times/Siena poll conducted Sept. 3-6, found Trump with a 48% to 47% lead over Harris nationwide, within the poll's three percentage point margin of error.
23% : "The debate format does not appear to favor one candidate over the other, Noel says, but both Harris and Trump will still face obstacles.
22% : "The main concern I see for Trump going into the debate is that he has not always done well interacting with women and especially women of color.
18% : "Trump has followed his familiar playbook of accusing the host news outlet of being biased, "nasty" and unfair in recent weeks.
*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.