I was at Trump's side in 2016 -- here's why he'll win again
- Bias Rating
50% Medium Conservative
- Reliability
10% ReliablePoor
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-3% 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
33% 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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Contributing sentiments towards policy:
64% : While other candidates ate corn dogs at the state fair, Trump offered rides in his helicopter.55% : In early 2015 I was working in communications at the Trump Organization when Trump, my boss, told a small group of us he would be running for president.
40% : In the early months of that campaign, Trump would sit in the front passenger seat of whatever SUV we traveled in across states like Iowa, New Hampshire and South Carolina, shaking hands and signing autographs for the supporters who ran after us when we stopped at traffic lights.
37% : Trump had something far more powerful: a message that resonated and an undeniable connection with voters who recognized an outsider's willingness to create real change.
33% : A lot has changed since his improbable win in 2016, but a few things remain the same: Trump is still facing seemingly insurmountable obstacles and relentless attacks, and Americans are again craving strong, common-sense leadership.
23% : When another staffer suggested he carry his own suitcase from his personalized 757 airplane to "look more like a regular guy," Trump refused.
19% : Trump, who had never held elective office, astonishingly trounced 17 professional politicians and went on to defeat Hillary Clinton, a candidate with every advantage: top political operatives running her campaign, full control of her party, and more money than our campaign could have dreamed of.
*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.