- Bias Rating
-20% Somewhat Liberal
- Reliability
40% ReliableFair
- Policy Leaning
8% Center
- Politician Portrayal
80% Negative
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Center
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Conservative
-100%
Liberal
100%
Conservative
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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 |
---|---|---|
"Variety did a morning-after on the awards show, in which they tried to get to the bottom of why De Niro had to pull out a paper version containing his full speech, which he then read to the crowd in protest." | Negative | -8% Liberal |
"Six minutes before showtime the teleprompter company received an email from Apple with the revised speech, which omitted specific references to Trump." | Negative | -8% Liberal |
"Were the powers-that-be trying to stop Robert De Niro from railing against Donald Trump, again?" | Negative | -40% Liberal |
"De Niro got to deliver the once deep-sixed part of his speech after all, calling out John Wayne for once saying the Native Americans deserved to have their land taken from them, trashing Ron De Santis for whitewashing slavery in Florida schools, and painting Trump as a liar and racist who uses Pocahontas as a slur." | Negative | -54% Liberal |
"De Niro got to deliver the once deep-sixed part of his speech after all, calling out John Wayne for once saying the Native Americans deserved to have their land taken from them, trashing Ron De Santis for whitewashing slavery in Florida schools, and painting Trump as a liar and racist who uses Pocahontas as a slur." | Negative | -54% Liberal |
Bias Meter
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Center
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-100%
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Contributing sentiments towards policy:
46% : Variety did a morning-after on the awards show, in which they tried to get to the bottom of why De Niro had to pull out a paper version containing his full speech, which he then read to the crowd in protest.*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.