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Ukraine Accuses Russia of Attacking UN Aid Convoy Bound for Civilians
Russian forces used drones and artillery to damage two World Food Programme trucks and destroy one in an attack on a UN aid convoy delivering essential supplies to civilians.
- On October 14, Russian forces struck a United Nations Office for the Coordination of Humanitarian Affairs convoy in Kherson's Bilozersk community, targeting clearly marked aid vehicles.
- Amid repeated strikes on aid groups, attacks include a drone strike on a Norwegian People's Aid base, a Zaporizhzhia warehouse hit causing $3,000,000 in damage, and a September 4 strike injuring Eight and killing two in Chernihiv, Ukraine.
- Four World Food Program -marked trucks carried aid; one truck burned, another was seriously damaged, and two escaped the drones and artillery strike near Bilozerka, Oleksandr Prokudin said.
- Regional authorities reported the strike destroyed and damaged several vehicles carrying aid, disrupting deliveries to civilians in the Kherson region, and officials said there were no casualties reported.
- Oleksandr Prokudin wrote on Telegram that Russian forces attacked several tons of humanitarian aid, including World Food Program trucks, near Bilozerka, highlighting risks to aid convoys.
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60 Articles
60 Articles
A United Nations humanitarian convoy has suffered a drone and artillery bombing this Tuesday in...
·Spain
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Ukraine urges UN to condemn Russian attack on UN aid convoy in Kherson Oblast
Ukraine’s Foreign Minister Andrii Sybiha urged U.N. member states to condemn Russia’s Oct. 14 attack on a U.N. aid convoy in Kherson Oblast, which left one truck destroyed and another badly damaged.
·Kyiv, Ukraine
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The Russian attack on this convoy of four trucks took place in the municipality of Bilozerka, a few kilometres from the Dnieper River. There were no injuries.
·Paris, France
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One humanitarian aid truck was destroyed and another seriously damaged, but the attack did not cause any casualties.
·Montreal, Canada
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Total News Sources60
Leaning Left16Leaning Right2Center8Last UpdatedBias Distribution61% Left
Bias Distribution
- 61% of the sources lean Left
61% Left
L 61%
C 31%
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