- Bias Rating
10% Center
- Reliability
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- Policy Leaning
10% Center
- Politician Portrayal
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-100%
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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 |
---|---|---|
"But voters showed up for abortion, essentially curbing what was expected to be a red wave, and demonstrating that the protection of fundamental women's rights is supported by US voters of both major parties." | Positive | 4% Conservative |
"In Kentucky, a Republican stronghold, a constitutional amendment to explicitly deny the right to abortion was on the ballot." | Negative | -16% Liberal |
"Political analysts had warned that American women weren't going to be galvanized by the focus on abortion, and that putting reproductive rights at the center of the Democratic agenda was going to backfire." | Negative | -22% Liberal |
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Bias Meter
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Contributing sentiments towards policy:
52% : But voters showed up for abortion, essentially curbing what was expected to be a red wave, and demonstrating that the protection of fundamental women's rights is supported by US voters of both major parties.42% : In Kentucky, a Republican stronghold, a constitutional amendment to explicitly deny the right to abortion was on the ballot.
39% :Political analysts had warned that American women weren't going to be galvanized by the focus on abortion, and that putting reproductive rights at the center of the Democratic agenda was going to backfire.
36% : After the US Supreme Court overturned Roe v Wade, access to abortion remains under threat, banned, or severely limited in a majority of states.
24% : Questions pertaining abortion were on the ballot in five states, and two gubernatorial races posed immediate consequences in terms of access to abortion.
*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.