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🙏🏻Две пропавшие накануне в Буйнакске девочки, предварительно, были найдены сегодня утром в лесу, они живы.

Тысячи волонтеров разыскивали детей со вчерашнего вечера. По одной из версий, они поехали за подарком для мамы, а на обратном пути сели не в ту маршрутку и заблудились. По другой - девочки играли в деструктивную игру с заданиями в соцсетях.

www.group-telegram.com/us/zaDagestan.com/22919

3.3K viewsFeb 15 at 10:59

group-telegram.com/zaDagestan/22919

Create: 2025-02-15
Last Update: 2025-02-20 03:37:18

🙏🏻Две пропавшие накануне в Буйнакске девочки, предварительно, были найдены сегодня утром в лесу, они живы.

Тысячи волонтеров разыскивали детей со вчерашнего вечера. По одной из версий, они поехали за подарком для мамы, а на обратном пути сели не в ту маршрутку и заблудились. По другой - девочки играли в деструктивную игру с заданиями в соцсетях.

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Date: 2025-02-20|

A Russian Telegram channel with over 700,000 followers is spreading disinformation about Russia's invasion of Ukraine under the guise of providing "objective information" and fact-checking fake news. Its influence extends beyond the platform, with major Russian publications, government officials, and journalists citing the page's posts. 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. "There are several million Russians who can lift their head up from propaganda and try to look for other sources, and I'd say that most look for it on Telegram," he said. He floated the idea of restricting the use of Telegram in Ukraine and Russia, a suggestion that was met with fierce opposition from users. Shortly after, Durov backed off the idea. 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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