
Under Biden, internal debate, stockpile concerns delayed weapons to...
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
74% Very Right
- Politician Portrayal
-22% Negative
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Bias Score Analysis
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
-6% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
60% : Patching in two officials from Ukraine´s Ministry of Defense, Ustinova raised the issue of the "substantial number" of unanswered formal requests for military equipment.54% : The plan, still in place when Trump took office Jan. 20, is to deliver more armored vehicles next summer, another U.S. official said.
52% : But their numbers were dwindling, according to public statements made then by Ukrainian officials.
47% : In his first week in office, Trump froze foreign aid to Ukraine, among many other countries.
40% : The average value of shipments accelerated sharply after Trump won the presidential race, to levels not seen since mid-2023, the Reuters analysis found.
36% : By September, the growing realization that Trump could regain the presidency added urgency to Zelenskiy´s effort to finish drafting a plan to end the war.
26% : Delays were worst during the months it took Congress to pass $60 billion in supplemental aid for Ukraine, held up by opposition from Donald Trump and congressional Republicans amid Trump´s successful run for president.
19% : At the time, polling showed a tight race between Vice President Kamala Harris and Trump, who had already indicated he would cut aid to Ukraine if elected.
*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.