Data scientist nails the Trump gaffe that started what looks today like a Harris landslide
- Bias Rating
48% Medium Conservative
- Reliability
50% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-9% 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
14% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
48% : Miller points out that the PredictIt market went into a frenzy that day as bettors shifted en masse from Trump to Harris.42% : That event, and not the debate that just made things worse for Trump, marked the decisive turning point in the campaign.
30% : As of Sept. 22, PredictIt prices suggest Harris's odds of winning stand at 56.3% versus 43.7% for Trump.
29% : But right now, he says, Harris is way ahead, and the polls haven't caught up with the huge win that's probably building -- and started building the day Trump made those disastrous comments to Black journalists, and blew the decisive lead that he's never regained.
20% : On July 31, Trump falsely suggested at the NABJ's annual colloquy that Harris had altered the way she characterized her racial heritage, questioned her bi-racial background, and charged the VP of "happening to turn Black" and that Harris "now wants to be known as black."
*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.