Trump's odds have surged over the past week and he now holds a 2 vote electoral college lead, says prominent data scientist
- Bias Rating
16% Somewhat Conservative
- Reliability
35% ReliableFair
- Policy Leaning
14% Somewhat Conservative
- Politician Portrayal
5% 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
7% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
79% : Following their debate on June 27, Trump took a huge lead, and by the time of the Republican convention in mid-July, Trump had a commanding total of well over 300 EVs.62% : I ask Miller if he sees a wave building for Trump, given the momentum he's shown in the past few days.
60% : That milestone marked the apex of the "Second Landslide" span, this time tagging Harris as the big victor just a month after Trump looked like an easy winner.
49% : But Trump bounced back fast, almost leveling the count by August 5.
44% : For example, a 50% share on PredictIT for Trump equates to less than 50% of the likely popular vote for the GOP ticket, in part because the wagerers are mainly men, and often regular sports gamblers, who lean Republican.
43% : But as of midnight on October 8, the Miller system gives a tiny edge to Trump, 270 to 268 for Harris.
43% : That was the "First Landslide" phase, and the only one for Trump.
35% : Once again, Trump closed the gap, getting within seven EVs of Harris on September 9, the day before the debate.
35% : "Trump's still playing to his base.
33% : Trump is more of an isolationist, and that appeals to a lot of people who think of Afghanistan and Iraq and say, 'Why are we trying to do this?
*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.