NY TimesElection Forecasts Try to Go Beyond the Polls. Are They Helping?
- Bias Rating
- Reliability
90% ReliableExcellent
- Policy Leaning
10% Center
- Politician Portrayal
5% Positive
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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
21% Positive
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
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Conservative
Contributing sentiments towards policy:
38% : "How you should interpret us having Trump at 54 percent the day before the election is not that much different than Nate Silver," who had the race as a dead heat, said Scott Tranter, the director of data science at Decision Desk HQ.*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.
