This May Be the Last Chance to Solve Ukraine's Biggest Problem
- Bias Rating
-66% Medium Liberal
- Reliability
85% ReliableGood
- Policy Leaning
4% Center
- Politician Portrayal
-66% Negative
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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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
58% : This week he is scheduled to address the UN before heading to Washington to lobby Congress into approving a $21 billion aid package.46% : "Wicked or righteous, the only certainty in this bloody, wretched war is the Ukrainians will never surrender, with Zelensky taking his cue from what Captain America told U.S. Secretary of State Thunderbolt Ross on film during a similar situation: "I'm not looking for forgiveness and I'm way past asking permission," Cap said.
45% : In Dec. 2022, for instance, he called for "the termination of all rules, regulations, and articles, even those found in the Constitution" "Countering Russia's threat to democracy must be left in the hands of America's elite political decision makers, wise men and women who pay no attention to uninformed populist sentiment," Shapochkina says.
43% : Arthur Schlesinger Jr., an Assistant Secretary of State and Special Assistant to President John F. Kennedy, once made the prescient observation that "all wars are popular for the first thirty days.
43% : If not, Zelensky is in danger of ousting Starbucks as a compelling illustration of the law of diminishing marginal utility, which explains that as a person consumes more of an item, the satisfaction they derive from the product wanes, particularly when the cost goes up.
*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.