Iranian Fuel Supplies Crippled By Cyber-Attack
- Bias Rating
82% Extremely Conservative
- Reliability
65% ReliableFair
- Policy Leaning
82% Extremely Conservative
- Politician Portrayal
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Liberal
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Conservative
-100%
Liberal
100%
Conservative
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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
-26% Negative
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
"Iran supplies both Hezbollah and Yemen's Houthi rebels with money and arms." | Negative | -2% Liberal |
"Read more on cyber-attacks in Iran: Undetected Android Trojan Expands Attack on Iranian BanksA hacktivist group with suspected state links, Gonjeshke Darande, or Predatory Sparrow, claimed responsibility for the attack." | Negative | -26% Liberal |
"Iran has blamed the US and Israel for a cyber-attack which it said caused widespread disruption to petrol stations on Monday, according to reports.Oil minister, Javad Owji, reportedly told state TV that 70" | Negative | -28% Liberal |
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Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
49% : "Iran supplies both Hezbollah and Yemen's Houthi rebels with money and arms.37% : Read more on cyber-attacks in Iran: Undetected Android Trojan Expands Attack on Iranian BanksA hacktivist group with suspected state links, "Gonjeshke Darande," or Predatory Sparrow, claimed responsibility for the attack.
36% : Iran has blamed the US and Israel for a cyber-attack which it said caused widespread disruption to petrol stations on Monday, according to reports.Oil minister, Javad Owji, reportedly told state TV that 70% of the country's petrol stations were impacted.
23% : That could make Monday's attacks in Iran an attempt to persuade Tehran to intervene in a fast-growing crisis in the Red Sea, which has seen the lane all but closed to cargo vessels.
*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.