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Data scientist nails the Trump gaffe that started what looks today like a building Harris landslide
- Bias Rating
50% Medium Conservative
- Reliability
60% ReliableAverage
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-18% 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
11% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Medium Conservative
50%
Contributing sentiments towards policy:
42% : That event, and not the debate that just made things worse for Trump, marked the decisive turning point in the campaign.37% : Miller points out that the PredictIt market turned frenzied that day as bettors shifted en masse from Trump to Harris.
30% : As of Sept. 22, PredictIt prices suggest Harris's odds of winning stand at 56.3% versus 43.7% for Trump.
28% : 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 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.


Check out this free eBook to learn more about detecting misinformation in the news.