Trump returns for indoor Pennsylvania rally for first time since assassination attempt in state
- Bias Rating
10% Center
- Reliability
40% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
18% 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
-21% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
67% : "As you know, this is my first rally since Butler," Trump said.56% : "As supporters waited for Trump to speak Wednesday evening, a projector flashed images of news articles noting that Harris was the first Indian-American senator from California, a fact that does not change her biracial identity.
53% : "Corey is a hero to all of us," Trump said, provoking a chant of "Corey!"
41% : And in a particularly jarring moment, Trump invited the campaign aide who created a chart for his Butler rally to give a brief "hi!" to the crowd.
34% : Trump was wounded in the ear during the attack, falling to the ground momentarily before standing back up and clutching a bloody ear.
31% : The chart, which illustrated rates of illegal immigration in the United States, has been credited by Trump as having "saved his life" after he turned his head to look at it miliseconds before the alleged shooter's bullet whizzed past his head.
8% : In that appearance, Trump insulted his opponent, Kamala Harris, and falsely accused her of lying about her race -- stating that she recently "became Black".
7% : "At his rally, Trump frequently lamented that he had spent so much time attacking Biden, quipping that he did not know who Harris was before she became the presumptive Democratic nominee with the withdrawal of Biden from the race.
*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.