Balloon Juice - War for Ukraine Day 737: Russia Began Their March Bombardement as the 1st Turned to the 2nd in Ukraine
- Bias Rating
10% Center
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-31% 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
-37% 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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-100%
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100%
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Contributing sentiments towards policy:
60% : Deliveries of weapons - tanks, air defence systems and long-range artillery - have typically come too late, and only after indecision and government caution.57% : Schools, universities, residential houses, kindergartens, and churches.
51% : J'ai has taken over advisory missions on disputes between States, in particular with'Italy.
47% : The EU, however, has failed to make good on its pledge to give Kyiv a million artillery rounds.
46% : Does Milley have a patriotic duty as a citizen to talk about things that happened when he worked with Trump?
46% : "First, some adjacent material from the Ukrainian Ministry of Defense.
43% : A reference to not taking an oath to a "wannabe dictator" in his retirement speech was widely interpreted as a jibe at Trump.
37% : Other countries of the European Union (EU)' would be targeted by similar threats aimed at weakening the anti-Moscow front born of the war in Ukraine.
30% : A germaphobe in the mold of Donald Trump (the Wirecard executive somehow unsurprisingly owns a life-sized cut-out of the 45th U.S. President), Marsalek even had a field hospital built in the villa during the pandemic.
24% : Milley is widely believed, for example, to have played a key role in making sure that Trump did not attack Iran in late 2020.
*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.