mlsanityData to 14 Oct 2026

Twitter Dataset for 2022 Russo-Ukrainian Crisis

arXiv 2203.02955 ↗First posted 6 Mar 2022cs.SI cs.CLcited by 6

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Abstract (arXiv)

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.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 1 of its 11 references that are in the map. First posted on arXiv 6 Mar 2022.

Builds on

1 of 11 references.

References · 1

  1. 2019A Survey on Computational Politicscited by 2

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Cited by year

Citing papers per year: 2022: 4; 2023: 1; 2024: 1.

6 papers.

  1. 2023Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Taskscited by 89
  2. 2022Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Mediacited by 10
  3. 2022A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wavecited by 8
  4. 2022An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detectioncited by 7
  5. 2022A Weibo Dataset for the 2022 Russo-Ukrainian Crisiscited by 2
  6. 2024Exploring the Capability of ChatGPT to Reproduce Human Labels for Social Computing Tasks (Extended Version)cited by 0