Chechen Republic
Putin says Russia believes it will win in Ukraine in New Year's Eve address
Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Putin says Russia believes it will win in Ukraine in New Year's Eve address Russian President Vladimir Putin has said his country believes it will win the war in Ukraine, nearly four years after he launched an invasion of the neighbouring nation, in comments made during his televised annual New Year's Eve address. The Russian leader called on the country on Wednesday to "support our heroes" fighting in Ukraine, where troops have been waging a brutal offensive since February 2022.
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Russia-Ukraine war: List of key events, day 1,381
What is in the 28-point US plan for Ukraine? 'Ukraine is running out of men, money and time' Can the US get all sides to end the war? Why is Europe opposing Trump's peace plan? Here's where things stand on Saturday, December 6: A Russian drone attack killed two men, aged 52 and 67, in the Ukrainian city of Izyum as they were unloading firewood from a truck, according to local officials. Russian forces also killed a 12-year-old boy in an attack on the Vasylkivska community in Ukraine's Dnipropetrovsk region, and wounded more than a dozen Ukrainians in attacks on the Kherson, Donetsk and Sumy regions, local officials said.
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From South Park v Trump to AI slopaganda: deepfakes are now part of the news cycle, for better and for worse Anna Broinowski
South Park's 27th season return featured a jaw-dropping deepfake of Donald Trump that resulted in an official statement from the White House. South Park's 27th season return featured a jaw-dropping deepfake of Donald Trump that resulted in an official statement from the White House. Deepfakes come with risks that demand urgent regulation. But it is vital their potential as a creative and satirical tool isn't stifled S alman Rushdie believes AI will not be a threat to authors until ChatGPT can write " a funny book ". His faith in human over synthetic creativity may hold some truth in the literary space.
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SemCAFE: When Named Entities make the Difference Assessing Web Source Reliability through Entity-level Analytics
Shahi, Gautam Kishore, Seneviratne, Oshani, Spaniol, Marc
With the shift from traditional to digital media, the online landscape now hosts not only reliable news articles but also a significant amount of unreliable content. Digital media has faster reachability by significantly influencing public opinion and advancing political agendas. While newspaper readers may be familiar with their preferred outlets political leanings or credibility, determining unreliable news articles is much more challenging. The credibility of many online sources is often opaque, with AI generated content being easily disseminated at minimal cost. Unreliable news articles, particularly those that followed the Russian invasion of Ukraine in 2022, closely mimic the topics and writing styles of credible sources, making them difficult to distinguish. To address this, we introduce SemCAFE, a system designed to detect news reliability by incorporating entity relatedness into its assessment. SemCAFE employs standard Natural Language Processing techniques, such as boilerplate removal and tokenization, alongside entity level semantic analysis using the YAGO knowledge base. By creating a semantic fingerprint for each news article, SemCAFE could assess the credibility of 46,020 reliable and 3,407 unreliable articles on the 2022 Russian invasion of Ukraine. Our approach improved the macro F1 score by 12% over state of the art methods. The sample data and code are available on GitHub
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The first open machine translation system for the Chechen language
Umishov, Abu-Viskhan A., Grigorian, Vladislav A.
We introduce the first open-source model for translation between the vulnerable Chechen language and Russian, and the dataset collected to train and evaluate it. We explore fine-tuning capabilities for including a new language into a large language model system for multilingual translation NLLB-200. The BLEU / ChrF++ scores for our model are 8.34 / 34.69 and 20.89 / 44.55 for translation from Russian to Chechen and reverse direction, respectively. The release of the translation models is accompanied by the distribution of parallel words, phrases and sentences corpora and multilingual sentence encoder adapted to the Chechen language.
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Russia's Putin apologizes to Azerbaijan over 'tragic' airliner crash
President Vladimir Putin on Saturday apologized to Azerbaijan's leader for what the Kremlin called a "tragic incident" over Russia in which an Azerbaijan Airlines plane crashed after Russian air defences were fired against Ukrainian drones. The extremely rare publicized apology from Putin was the closest Moscow had come to accepting some blame for Wednesday's disaster, although the Kremlin statement did not say Russia had shot down the plane, only noting that a criminal case had been opened. Flight J2-8243, en route from Baku to the Chechen capital Grozny, crash-landed on Wednesday near Aktau in Kazakhstan after diverting from southern Russia, where Ukrainian drones were reported to be attacking several cities. At least 38 people were killed.
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Putin apologises to Azerbaijan's president over 'tragic' plane crash
Russian President Vladimir Putin has apologised to his Azerbaijani counterpart Ilham Aliyev for what he called a "tragic incident" following the deadly crash of an Azerbaijan Airlines plane this week in Kazakhstan. The plane was flying on Wednesday from Azerbaijan's capital of Baku to Grozny, the regional capital of the Russian republic of Chechnya, when it turned towards Kazakhstan and crashed while attempting to land. In a statement on Saturday, the Kremlin said Russian air defence systems were firing near Grozny due to a Ukrainian drone strike, but stopped short of saying one of these hit the plane. "Vladimir Putin apologised for the tragic incident that occurred in Russian airspace and once again expressed his deep and sincere condolences to the families of the victims and wished a speedy recovery to the injured," the Kremlin said. "At that time, Grozny, Mozdok and Vladikavkaz were being attacked by Ukrainian unmanned aerial vehicles, and Russian air defence systems repelled these attacks."
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