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Trump Calls Zelenskyy After Ukraine's 'Unprecedented' Attack on Russia
- On Sunday, September 20, Ukrainian forces launched a massive drone assault on Moscow as voting closed for Russia's parliamentary elections; Mayor Sergei Sobyanin described it as the "largest ever" attack on the capital.
- President Vladimir Putin's government framed the parliamentary vote as a test of national unity behind the war, while Ukrainian forces deployed domestically produced Flamingo and Pelican missiles to target energy infrastructure and disrupt the proceedings.
- Three people were killed and 20 injured in the Moscow region, according to Moscow regional Governor Andrey Vorobyov, with damage reported at the Moscow Oil Refinery and residential buildings, a facility processing nearly 12 million metric tons of oil annually.
- Authorities reported widespread cyberattacks on election infrastructure alongside the aerial assault; Central Election Commission Chair Ella Pamfilova stated voting continued smoothly, with partial results showing United Russia leading at 57.5%.
- The escalating aerial duel between Moscow and Kyiv reflects a systematic strategy to degrade Russia's fuel supply chains, with analysts noting the strikes compound economic strain as the Kremlin seeks to consolidate its parliamentary mandate.
Insights by Ground AI
537 Articles
537 Articles
The punishment with Ukrainian drones and missiles this Sunday is the culmination of a sculpted strategy based on time and technology
·Pozuelo de Alarcón, Spain
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Ukrainian leader Selenskyj announced a meeting with US President Trump for his visit to the UN in New York.
·Germany
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United Russia Dominates Election After Ukraine Attack
“Russia’s ruling United Russia party is on track to comfortably win a tightly controlled wartime election after Ukraine launched what is thought to be the largest drone attack on the Moscow region on the last day of voting,” CNBC reports.
·New York, United States
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Coverage Details
Total News Sources537
Leaning Left63Leaning Right72Center84Last UpdatedBias Distribution38% Center
Bias Distribution
- 38% of the sources are Center
38% Center
L 29%
C 38%
R 33%
Factuality
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