Making sense of NY's election results
- Bias Rating
-6% Center
- Reliability
N/AN/A
- Policy Leaning
8% Center
- Politician Portrayal
-17% 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
N/A
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Center
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
56% : He didn't have a plan for the social safety net.45% : I think when we look at the numbers of young people who came out because they care about a woman's right to choose, and that's women and men, I think we think about young people [who] came out because they care about canceling student debt or the environment or guns or jobs.
45% : Sometimes we devote outside of ourselves, maybe you don't have any issues in particular that are on the table that are motivating you to go out and vote, but maybe you need to think about the trans community, or you need to think about people who need a social safety net or you need to think about women who need to make sure that New York state remains a pro-choice state.
*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.