Why Trump's victory was inevitable | GUEST COMMENTARY
- Bias Rating
10% Center
- Reliability
70% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-5% 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
24% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
76% : Democrat Amer Ghalib, the mayor of Hamtramck, Michigan, who endorsed Trump, was the perfect example of this trend.69% : Trump should have been the clear favorite to win based on the polling in the months before Nov. 5.
55% : Trump in his own way also appealed to those same white voters.
36% : In the last two elections, Trump significantly outperformed his polling numbers, allowing him to overcome Clinton (who was around 3-4 points ahead in the polls).
36% : While Trump came up short against Biden (6 or more points ahead in 2020), it was still closer than anyone tracking the polls would have expected.
34% : Going forward, they will need to find a way to win back the votes lost to Trump.
11% : This time, Trump was at worst only a point or two behind Harris in the polls while often ahead or tied.
*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.