- Bias Rating
80% Extremely Conservative
- Reliability
N/AN/A
- Policy Leaning
-16% Somewhat Liberal
- Politician Portrayal
78% Negative
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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
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
"Following the tumultuous events of 2013 and 2014, Ukraine's government was forced to accrue significant levels of Western debt in order to finance increased military spending and withstand economic upheaval." | Negative | -16% Liberal |
"He was not successful, however, in securing the two goals he covets most: Biden has refused to denounce the Nord Stream 2 natural gas pipeline, declaring his intention to waive sanctions of its construction; and there is still little, if any, movement toward forming a concrete Membership Action Plan for Ukrainian ascension to NATO." | Negative | -10% Liberal |
"These developments are part of an alarming trend for Zelenskyy that goes back to the Reykjavik meeting in June between Biden and Russian President Vladimir Putin." | Negative | -12% Liberal |
"Purposeful or not, the Biden administration's sloppy handling of the entire trip clearly signaled to Kyiv its diminished level of importance for the United States." | Negative | -38% Liberal |
"The meeting between Biden and Zelenskyy proceeded in a heavily scripted maer, giving it a forced and awkward appearance -- even for the current occupant of the Oval Office." | Negative | -40% Liberal |
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Somewhat Liberal
Center
Somewhat Conservative
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-100%
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100%
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Contributing sentiments towards policy:
42% : Following the tumultuous events of 2013 and 2014, Ukraine's government was forced to accrue significant levels of Western debt in order to finance increased military spending and withstand economic upheaval.*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.