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🏆В Тюмени подвели итоги конкурса студенческих работ «МедиаТест».
Его организовали Тюменское отделение Союза журналистов России и медиахолдинг «Сибинформбюро» при поддержке депутата Тюменской областной думы Дениса Ващенко. Конкурс собрал участников с Ямала, из Ростовской, Свердловской и Иркутской областей, а также Хабаровского края. Победителей выбрали в пяти номинациях:
🏆В Тюмени подвели итоги конкурса студенческих работ «МедиаТест».
Его организовали Тюменское отделение Союза журналистов России и медиахолдинг «Сибинформбюро» при поддержке депутата Тюменской областной думы Дениса Ващенко. Конкурс собрал участников с Ямала, из Ростовской, Свердловской и Иркутской областей, а также Хабаровского края. Победителей выбрали в пяти номинациях:
The account, "War on Fakes," was created on February 24, the same day Russian President Vladimir Putin announced a "special military operation" and troops began invading Ukraine. The page is rife with disinformation, according to The Atlantic Council's Digital Forensic Research Lab, which studies digital extremism and published a report examining the channel. So, uh, whenever I hear about Telegram, it’s always in relation to something bad. What gives? Russians and Ukrainians are both prolific users of Telegram. They rely on the app for channels that act as newsfeeds, group chats (both public and private), and one-to-one communication. Since the Russian invasion of Ukraine, Telegram has remained an important lifeline for both Russians and Ukrainians, as a way of staying aware of the latest news and keeping in touch with loved ones. DFR Lab sent the image through Microsoft Azure's Face Verification program and found that it was "highly unlikely" that the person in the second photo was the same as the first woman. The fact-checker Logically AI also found the claim to be false. The woman, Olena Kurilo, was also captured in a video after the airstrike and shown to have the injuries. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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