New York Post Article RatingSame old Kamala, those darned 'disbedient' Israelis and other...
- Bias Rating
- Reliability
75% ReliableGood
- Policy Leaning
20% Somewhat Right
- Politician Portrayal
-49% 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
-26% Negative
- 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:
17% : " Indeed, "the flaws in Harris's approach are as clear now as they were five years ago -- and they could prove to be just as disastrous now as they were then." "The Harris campaign's entire theory of the case is wrong," argues National Review's Jim Geraghty: "Reminding people about what they couldn't stand about Trump and emphasizing 'joy' and 'vibes' is not sufficient to close the deal with an electorate" that's "been coping with runaway inflation," a border crisis, a "post-Covid rise in crime," and "an international scene beset by invasions, terrorism, and massacres.*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.
