
Early Takeaways From the US Presidential Election
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
32% Somewhat Right
- Politician Portrayal
-14% 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
13% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Center
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Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
61% : In Pennsylvania, Trump was maintaining close to the same level of support among white women voters that he enjoyed in 2020.54% : That was most notable in the battleground state of North Carolina, where exit polls showed Trump boosting his share of the Black vote to 12%, from 5% in 2020.
53% : But so far, Trump seemed to be holding onto the support of at least white women voters, according to exit polls.
44% : But a potential problem for Trump in the state was that his support among white voters was five percentage points less than in exit polls four years ago.
23% : North Carolina, on the other hand, showed some real potential erosion for Trump.
18% : That poll showed Trump slightly edging Harris among men between the ages of 18 and 44 and beating her solidly with men 45 and up. (Reporting by James Oliphant; Editing by Colleen Jenkins and Daniel Wallis)
*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.