My 24 hours strapped into Putin's propaganda machine
- Bias Rating
34% Somewhat Conservative
- Reliability
60% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-62% 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
-7% Negative
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
44% : He'd only broached the subject of Donald Trump's re-election as US president in the third hour of his appearance, congratulating Trump on his victory and saying he was ready to restore contacts with the US leadership.39% : An editorial in the privately-owned Nezavisimaya Gazeta reminds readers that the experience of dealing with Trump in his first term "wasn't entirely negative, but it was disappointing".
35% : A military analyst uses a derogatory Russian term for Ukrainians, telling the programme that "despite his ethnic [Jewish] origin" Zelensky would prove himself to be "a typical khokhol" and start "betraying" the outgoing US administration to endear himself to Trump.
28% : On the subject that matters most to the Kremlin, the paper has this to say: "It seems likely that Trump will try to quickly 'freeze' the Ukraine issue, portraying himself as a global leader who is able to effectively and decisively resolve conflicts.
28% : Boris Chernyshov, an MP from the misleadingly named Liberal Democratic party - in fact, strongly nationalist - says he expects Trump to "adopt a hard policy line", but suggests Russia could exploit the president-elect's supposed vanity.
21% : "In Rossiyskaya Gazeta, the official government paper, an international relations expert says it would be "naïve" to expect Trump to lift sanctions on Russia any time soon.
*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.