The Epoch Times Article Rating- Bias Rating
24% Somewhat Conservative
- Reliability
N/AN/A
- Policy Leaning
16% Somewhat Conservative
- Politician Portrayal
48% Negative
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Center
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Extremely
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 |
|---|---|---|
| "Taxes and fees on everything have never been higher." | Negative | -16% Liberal |
| "These nonprofits in turn contributed to Newsom's future campaigns." | Positive | 16% Conservative |
| "Also, few people wanted to be perceived as being against the care that Newsom was prescribing as a fix-all." | Negative | -16% Liberal |
| "The truth is -- and of course you will not hear this from Newsom -- he is ruing for president." | Negative | -20% Liberal |
| "I will cite just one of many such issues that come to mind that propelled California Governor Gavin Newsom's political career and that occurred when I served on the Board of Supervisors with him in San Francisco -- the signature care not cash issue that Newsom introduced in San Francisco in 2002." | Negative | -28% Liberal |
| "I will cite just one of many such issues that come to mind that propelled California Governor Gavin Newsom's political career and that occurred when I served on the Board of Supervisors with him in San Francisco -- the signature care not cash issue that Newsom introduced in San Francisco in 2002." | Negative | -28% Liberal |
Extremely
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Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
42% :Taxes and fees on everything have never been higher.*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.