SICLMar 6, 2022

Twitter Dataset for 2022 Russo-Ukrainian Crisis

arXiv:2203.02955v133 citationsh-index: 36Has Code
Originality Synthesis-oriented
AI Analysis

This dataset addresses the problem of limited access to real-time social media data for researchers studying crisis communication and misinformation, though it is incremental as it adds to existing datasets.

The authors tackled the need for crisis-related social media data by providing a Twitter dataset of over 1.6 million tweets from the first week of the 2022 Russo-Ukrainian conflict, enabling analysis of public opinions and information campaigns.

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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