Kamala Harris Sees Betting Odds Flip in Her Favor After Donald Trump Debate
- Bias Rating
50% Medium Conservative
- Reliability
50% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-36% 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
17% Positive
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
45% : At 8 p.m., an hour before the debate began, they showed Trump having a 52 percent chance of winning, with Harris having a 46 percent chance.40% : Harris and Trump faced off in their first, and potentially only, debate in Philadelphia, Pennsylvania Tuesday night, giving them the opportunity to win over moderate and undecided voters as polls suggest the race is a toss-up in key battleground states.
38% : After the debate, they gave both Harris and Trump a 49 percent chance of winning the election.
37% : As of 11 p.m. on Tuesday, BetOnline gave Harris a slight lead of -120, with Trump just behind her at +110.
30% : This marks a reversal since 9 a.m. on Tuesday when the bookmaker had Trump a slight lead of -120, while Harris had odds of +100.Just minutes before the debate, 50.9 percent of bets were on Harris.
27% : BetOnline saw their odds, previously favoring Trump, flip to Harris after the debate.
26% : "Under the bright lights, the American people got to see the choice they will face this fall at the ballot box: between moving forward with Kamala Harris, or going backwards with Trump," Harris-Walz campaign chair Jen O'Malley Dillon said.
23% : Harris campaign chair Jen O'Malley Dillon wrote in a statement shortly after the debate concluded that Harris is ready for a second debate against Trump in October.
7% : Is Donald Trump?"Trump, however, said Harris only wants a second debate "because she lost.
*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.