Twitter Dataset on the Russo-Ukrainian War
Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki,, Polyvios Pratikakis, Sotiris Ioannidis

TL;DR
This paper introduces a large-scale Twitter dataset related to the Russo-Ukrainian War, enabling diverse analyses such as sentiment, hate speech, and bot detection, to understand social media dynamics around the conflict.
Contribution
It provides an extensive, publicly available Twitter dataset on the Russo-Ukrainian War, with initial analysis and potential for various research applications.
Findings
Dataset contains 57.3 million tweets from 7.7 million users.
Initial volume and sentiment analysis performed.
Dataset supports research on hate speech, propaganda, and malicious entities.
Abstract
On 24 February 2022, Russia invaded Ukraine, also known now as Russo-Ukrainian War. We have initiated an ongoing dataset acquisition from Twitter API. Until the day this paper was written the dataset has reached the amount of 57.3 million tweets, originating from 7.7 million users. We apply an initial volume and sentiment analysis, while the dataset can be used to further exploratory investigation towards topic analysis, hate speech, propaganda recognition, or even show potential malicious entities like botnets.
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Taxonomy
TopicsMisinformation and Its Impacts · Opinion Dynamics and Social Influence · Social Media and Politics
