The HillTim Walz is right: Scrap the Electoral College
- Bias Rating
- Reliability
60% ReliableAverage
- Policy Leaning
22% Somewhat Right
- Politician Portrayal
-3% Negative
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Bias Score Analysis
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
-5% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
53% : In 2020 Trump won 5.8 million votes there, earning him 38 electoral votes (now 40).45% : If Harris and Trump each win 269 Electoral College votes, the House of Representatives would decide who is president on a one-state, one-vote basis.
39% : The chicanery that would ensue as a result would usher in yet another constitutional crisis that would test the American republic in unprecedented and potentially dangerous ways." My greatest 2024 election fear is a rerun of 2016, when Trump won the Electoral College but lost the popular vote.
37% : If you remove California from the equation completely, Biden beat Trump by 1.9 million votes nationwide anyway.
*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.
