The Conversation Article RatingUS election: how does the electoral college voting system work?
- Bias Rating
20% Somewhat Conservative
- Reliability
90% ReliableExcellent
- Policy Leaning
38% Somewhat Conservative
- Politician Portrayal
2% 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
9% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
59% : For example, in 2016, Trump won Michigan by just 13,080 votes (0.3%), Wisconsin by 27,257 votes (1.0%), and Pennsylvania by 68,236 votes (1.2%).54% : First, a candidate can win the electoral college while losing the popular vote and still become president - as happened most recently in 2000 with George W. Bush and in 2016 with Trump.
49% : Following the 2020 election, certain electors in several swing states attempted to falsely declare Trump the winner.
35% : After supporters of Trump stormed the Capitol building in January 2021, protesting the official authorisation of votes, Congress updated the 1800s-era Electoral Count Act to make it harder to challenge the electoral college result.
19% : There are fears of a potential repeat of this scenario in 2024, should Trump lose again.
*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.