揭示全球叙事：一个关于俄乌冲突新闻媒体的多语言 Twitter 数据集
Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict
AI总结：
本文构建了一个涵盖 2022 年 2 月至 2023 年 5 月、60 种语言约 150 万条带图推文的多语言多媒体 Twitter 数据集，并用标签支持实体、立场、概念与情感分析。
摘要：
持续进行的俄乌冲突一直是全球媒体密集报道的主题。对于希望深入了解其多层面维度的研究人员而言，理解围绕该主题的全球叙事至关重要。在本文中，我们提出了一个新颖的多媒体数据集，其通过收集并处理全球各地新闻或媒体公司在社交媒体上发布的、聚焦于该主题的推文而构建。我们收集了 2022 年 2 月至 2023 年 5 月的推文，获得了约 150 万条使用 60 种不同语言发布的推文及其图片。数据集中的每条记录都附有经过处理的标签，从而能够识别实体、立场、文本或视觉概念以及情感。该多媒体数据集的可用性为研究人员提供了宝贵资源，使其能够从多个方面调查围绕这场持续冲突的全球叙事，例如涉及的主要实体是谁、各方采取了什么立场、这些立场源自何处，以及与该事件相关的不同文本和视觉概念是如何被呈现的。
英文摘要：
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 approximately 1.5 million tweets in 60 different languages along with their images. Each entry in the dataset is accompanied by processed tags, allowing for the identification of entities, stances, textual or visual concepts, and sentiment. The availability of this multimedia dataset serves as a valuable resource for researchers aiming to investigate the global narrative surrounding the ongoing conflict from various aspects such as who are the prominent entities involved, what stances are taken, where do these stances originate from, how are the different textual and visual concepts related to the event portrayed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
