Race in the race
- Bias Rating
18% Somewhat Conservative
- Reliability
50% ReliableFair
- Policy Leaning
42% Medium Conservative
- Politician Portrayal
-22% 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
10% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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100%
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Contributing sentiments towards policy:
57% : In addition to endorsers, he also used criminal justice reform to do that, and it worked surprisingly well.40% : Why would they tell in all honesty to a stranger over the phone who they are going to vote for?"For several election cycles in a row, polls in the U.S. have been skewed, largely because the vote for Trump was underestimated.
30% : When everybody on TV says that Hillary Clinton will win (2016), that there will be a huge electoral repudiation of Trump (2018), that the presidential election won't be close (2020), or that Democrats have no chance to hold on to the House (2022), it takes courage to go against the mainstream or even raise an issue.
13% : For much of this year, I have been suspecting that Trump was polling so well because the focus was on incumbent Joe Biden and because pollsters have finally stopped underestimating Trump.
*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.