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Ukraine Accuses Russia of Attacking UN Aid Convoy Bound for Civilians
Two United Nations World Food Programme trucks were damaged and one set on fire in a deliberate Russian attack on a humanitarian convoy, officials said.
- 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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On Tuesday, the UN condemned the attack on one of its convoys carrying humanitarian aid in the Ukrainian region of Kherson. Follow the latest news. - IN DIRECT - War in Ukraine: the UN is insurgent with a Russian strike against one of its convoys (International).
"Humanitarian helpers are under the protection of international law and must never be attacked," the UN said.
·Zürich, Switzerland
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UN Says Its Humanitarian Convoy Hit By Russian Drones In Ukraine
A United Nations humanitarian convoy was hit by Russian drones while delivering aid to a front-line area in southern Ukraine, the UN's Office for Coordination of Humanitarian Affairs in Ukraine said on social media.
·New Delhi, India
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Coverage Details
Total News Sources78
Leaning Left19Leaning Right4Center11Last UpdatedBias Distribution56% Left
Bias Distribution
- 56% of the sources lean Left
56% Left
L 56%
C 32%
12%
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