Twitter Dataset for 2022 Russo-Ukrainian Crisis
Ehsan-Ul Haq, Gareth Tyson, Lik-Hang Lee, Tristan Braud, Pan Hui

TL;DR
This paper presents a large Twitter dataset collected during the first week of the 2022 Russo-Ukrainian conflict, enabling analysis of public opinion, sentiment, and information campaigns during the crisis.
Contribution
It provides one of the first extensive Twitter datasets related to the 2022 Russo-Ukrainian crisis, facilitating research on social media dynamics during conflicts.
Findings
Over 1.6 million tweets collected in the first week
Dataset enables analysis of public sentiment and information campaigns
Supports research on misinformation and propaganda during crises
Abstract
Online Social Networks (OSNs) play a significant role in information sharing during a crisis. The data collected during such a crisis can reflect the large scale public opinions and sentiment. In addition, OSN data can also be used to study different campaigns that are employed by various entities to engineer public opinions. Such information sharing campaigns can range from spreading factual information to propaganda and misinformation. We provide a Twitter dataset of the 2022 Russo-Ukrainian conflict. In the first release, we share over 1.6 million tweets shared during the 1st week of the crisis.
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Taxonomy
TopicsPublic Relations and Crisis Communication · Opinion Dynamics and Social Influence · Misinformation and Its Impacts
