Twitter Dataset for 2022 Russo-Ukrainian Crisis
- URL: http://arxiv.org/abs/2203.02955v1
- Date: Sun, 6 Mar 2022 12:49:40 GMT
- Title: Twitter Dataset for 2022 Russo-Ukrainian Crisis
- Authors: Ehsan-Ul Haq, Gareth Tyson, Lik-Hang Lee, Tristan Braud, Pan Hui
- Abstract summary: 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.
- Score: 16.025531545463142
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- 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.
Related papers
- News and Misinformation Consumption in Europe: A Longitudinal
Cross-Country Perspective [49.1574468325115]
This study investigated information consumption in four European countries.
It analyzed three years of Twitter activity from news outlet accounts in France, Germany, Italy, and the UK.
Results indicate that reliable sources dominate the information landscape, although unreliable content is still present across all countries.
arXiv Detail & Related papers (2023-11-09T16:22:10Z) - Russo-Ukrainian War: Prediction and explanation of Twitter suspension [47.61306219245444]
This study focuses on the Twitter suspension mechanism and the analysis of shared content and features of user accounts that may lead to this.
We have obtained a dataset containing 107.7M tweets, originating from 9.8 million users, using Twitter API.
Our results reveal scam campaigns taking advantage of trending topics regarding the Russia-Ukrainian conflict for Bitcoin fraud, spam, and advertisement campaigns.
arXiv Detail & Related papers (2023-06-06T08:41:02Z) - VoynaSlov: A Data Set of Russian Social Media Activity during the 2022
Ukraine-Russia War [36.18151945028956]
We describe a new data set called VoynaSlov which contains 21M+ Russian-language social media activities.
We scraped the data from two major platforms that are widely used in Russia: Twitter and VKontakte (VK), a Russian social media platform based in Saint Petersburg commonly referred to as "Russian Facebook"
The main differences that distinguish our data from previously released data related to the ongoing war are its focus on Russian media and consideration of state-affiliation.
arXiv Detail & Related papers (2022-05-24T21:59:10Z) - Twitter Dataset on the Russo-Ukrainian War [68.713984286035]
We have initiated an ongoing dataset acquisition from Twitter API.
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.
arXiv Detail & Related papers (2022-04-07T12:33:06Z) - Tweets in Time of Conflict: A Public Dataset Tracking the Twitter
Discourse on the War Between Ukraine and Russia [14.000779544058144]
On February 24, 2022, Russia invaded Ukraine. In the days that followed, reports kept flooding in from layman to news anchors of a conflict quickly escalating into war.
Russia faced immediate backlash and condemnation from the world at large.
While the war continues to contribute to an ongoing humanitarian and refugee crisis in Ukraine, a second battlefield has emerged in the online space.
arXiv Detail & Related papers (2022-03-14T20:52:02Z) - A Weibo Dataset for the 2022 Russo-Ukrainian Crisis [59.258530429699924]
We present the Russia-Ukraine Crisis Weibo dataset, with over 3.5M user posts and comments in the first release.
Our data is available at https://github.com/yrf1/Russia-Ukraine_weibo_dataset.
arXiv Detail & Related papers (2022-03-09T19:06:04Z) - Who shapes crisis communication on Twitter? An analysis of influential
German-language accounts during the COVID-19 pandemic [0.0]
This study identifies influential German-language accounts from almost 3 million German tweets collected between January and May 2020.
We discuss implications for crisis communication during health crises and for analyzing long-term crisis data.
arXiv Detail & Related papers (2021-09-12T11:33:34Z) - Russian trolls speaking Russian: Regional Twitter operations and MH17 [68.8204255655161]
In 2018, Twitter released data on accounts identified as Russian trolls.
We analyze the Russian-language operations of these trolls.
We find that trolls' information campaign on the MH17 crash was the largest in terms of tweet count.
arXiv Detail & Related papers (2020-05-13T19:48:12Z) - HoaxItaly: a collection of Italian disinformation and fact-checking
stories shared on Twitter in 2019 [72.96986027203377]
The dataset includes also title and body for approximately 37k news articles.
It is publicly available at https://doi.org/10.79DVN/ PGVDHX.
arXiv Detail & Related papers (2020-01-29T16:14:47Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.