NY Post Hacked, Twitter Account Posts Series of Violent, Vulgar Headlines
- Bias Rating
2% Center
- Reliability
N/AN/A
- Policy Leaning
2% Center
- Politician Portrayal
4% Positive
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Center
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Conservative
-100%
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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
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"Biden, Rep. Alexandria Ocasio-Cortez, Mayor Eric Adams and migrants at the southern border, among others." | Positive | 8% Conservative |
"Biden, Rep. Alexandria Ocasio-Cortez, Mayor Eric Adams and migrants at the southern border, among others." | Positive | 6% Conservative |
"Biden, Rep. Alexandria Ocasio-Cortez, Mayor Eric Adams and migrants at the southern border, among others." | Positive | 6% Conservative |
"Hackers took over the NY Post Twitter account Thursday morning and posted what appeared to be a series of Op-Ed headlines calling for the deaths of various politicians like Joe Biden and AOCHackers took over the New York Post's Twitter account Thursday morning, posting a series of tweets masquerading as Op-Ed headlines calling for the murder of various top politicians." | Negative | -2% Liberal |
"Hackers took over the NY Post Twitter account Thursday morning and posted what appeared to be a series of Op-Ed headlines calling for the deaths of various politicians like Joe Biden and AOCHackers took over the New York Post's Twitter account Thursday morning, posting a series of tweets masquerading as Op-Ed headlines calling for the murder of various top politicians." | Negative | -2% Liberal |
Bias Meter
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-100%
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100%
Conservative
Contributing sentiments towards policy:
54% : Biden, Rep. Alexandria Ocasio-Cortez, Mayor Eric Adams and migrants at the southern border, among others.*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.