Trump's Unsubstantiated Claim About Harris Working at McDonald's During College Visit News
- Bias Rating
80% Very Conservative
- Reliability
N/AN/A
- Policy Leaning
90% Very Conservative
- Politician Portrayal
-20% 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
N/A
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
31% : Republican strategist Barrett Marson suggested that Trump would be better off addressing these topics instead of delving into decades-old claims about a summer job.23% : Trump took the opportunity to criticize Democrat Kamala Harris, specifically questioning her claim of working at the fast-food chain during her college years at Howard University.
19% : Despite Harris's statements about her time as a fry cook at McDonald's, Trump continued to push his unsubstantiated claim that she never worked there.
16% : Trump's campaign adviser, Jason Miller, emphasized the significance of the visit, highlighting the importance of connecting with hard-working Americans through experiences like working at McDonald's.Harris's campaign responded to Trump's claims, with spokesperson Ian Sams accusing Trump of resorting to lies when feeling desperate.
13% : This focus on Harris's past employment history is not new for Trump, who has a history of promoting baseless claims and conspiracy theories about his political opponents.
8% : From questioning President Barack Obama's citizenship to spreading false information about other politicians, Trump has consistently used personal attacks as a part of his political strategy.
*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.