  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.
