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Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict
April 9, 2024, 4:51 a.m. | Sherzod Hakimov, Gullal S. Cheema
cs.CL updates on arXiv.org arxiv.org
Abstract: The ongoing Russo-Ukrainian conflict has been a subject of intense media coverage worldwide. Understanding the global narrative surrounding this topic is crucial for researchers that aim to gain insights into its multifaceted dimensions. In this paper, we present a novel multimedia dataset that focuses on this topic by collecting and processing tweets posted by news or media companies on social media across the globe. We collected tweets from February 2022 to May 2023 to acquire …
abstract aim arxiv conflict coverage cs.cl cs.dl dataset dimensions global insights media media coverage multilingual multimedia narrative news media novel paper researchers twitter type understanding
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