ReasonLessons from the 2020 Presidential Election
- Bias Rating
54% Medium Conservative
- Reliability
N/AN/A
- Policy Leaning
42% Medium Conservative
- Politician Portrayal
-60% 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
-32% Negative
- 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:
39% : People casting votes at home with other people looking at how they were voting probably felt pressure not to vote for President Trump's re-election.Going forward, President Trump is calling today for the GOP to invest massively in mail in voting, which is perfectly sensible if the Democrats are going to engage in it.21% : But, I do think that the outcome of the 2020 election was changed because of the use of mail in voting and that this may explain why President Trump lost the counted vote in 2020.
*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.