Twitter Dataset for 2022 Russo-Ukrainian Crisis

Haq, Ehsan-Ul; Tyson, Gareth; Lee, Lik-Hang; Braud, Tristan; Hui, Pei

doi:10.48550/arxiv.2203.02955

Cited by 23 publications

(26 citation statements)

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“…Most closely related are a small set of social media datasets pertaining to the Russo-Ukrainian Conflict, including Twitter [7], [19], [20], VKontakte [21], and Weibo [8]. Reddit differs from these platforms due to its unique niche-oriented communities.…”

Section: Related Workmentioning

confidence: 99%

“…In addition, our dataset does not include the two major Russia-specific subreddits, russia and russiapolitics. This is because Reddit has quarantined these communities due to the high volume of misinformation, 7 and Pushshift does not record…”

Section: B Text Contentmentioning

confidence: 99%

“…Previously, researchers have collected and shared such datasets related to various social events, such as COVID-19 or Elections [5], [6]. There are also already several datasets for the Russo-Ukrainian crisis from different social media, such as Twitter [7], and Weibo [8]. Here, we present the first dataset from Reddit, a globally used discussion forum.…”

Section: Introductionmentioning

confidence: 99%

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A Reddit Dataset for the Russo-Ukrainian Conflict in 2022

Zhu¹,

Haq²,

Lee³

et al. 2022

Preprint

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Reddit consists of sub-communities that cover a focused topic. This paper provides a list of relevant subreddits for the ongoing Russo-Ukrainian crisis. We perform an exhaustive subreddit exploration using keyword search and shortlist 12 subreddits as potential candidates that contain nominal discourse related to the crisis. These subreddits contain over 300,000 posts and 8 million comments collectively. We provide an additional categorization of content into two categories, "R-U Conflict", and "Military Related", based on their primary focus. We further perform content characterization of those subreddits. The results show a surge of posts and comments soon after Russia launched the invasion. "Military Related" posts are more likely to receive more replies than "R-U Conflict" posts. Our textual analysis shows an apparent preference for the Pro-Ukraine stance in "R-U Conflict", while "Military Related" retain a neutral stance.

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Section: Related Workmentioning

confidence: 99%

Section: B Text Contentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Reddit Dataset for the Russo-Ukrainian Conflict in 2022

Zhu¹,

Haq²,

Lee³

et al. 2022

Preprint

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“…Given the historical existence of information operations in Russia and Ukraine, the ongoing military invasion, and media reports of information warfare, we release an in-progress data set, VoynaSlov, to facilitate timely analyses of the information landscape. While contemporaneous work has released data sets of tweets containing keywords related to the invasion (Haq et al, 2022;Chen and Ferrara, 2022), our work focuses particularly on information manipulation by additionally building a corpus of posts by Russian media outlets and reactions to them on two different platforms, Twitter and VKontakte (VK). VK is a Russian social media and social networking platform that is based in Saint Petersburg.…”

Section: Introductionmentioning

confidence: 99%

VoynaSlov: A Data Set of Russian Social Media Activity during the 2022 Ukraine-Russia War

Park¹,

Mendelsohn²,

Field³

et al. 2022

Preprint

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In this report, we describe a new data set called VoynaSlov which contains 21M+ Russianlanguage social media activities (i.e. tweets, posts, comments) made by Russian media outlets and by the general public during the time of war between Ukraine and Russia. 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". We provide descriptions of our data collection process and data statistics that compare state-affiliated and independent Russian media, and also the two platforms, VK and Twitter. 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 as well as the inclusion of data from VK, which is more suitable than Twitter for understanding Russian public sentiment considering its wide use within Russia. We hope our data set can facilitate future research on information warfare and ultimately enable the reduction and prevention of disinformation and opinion manipulation campaigns. The data set is available at https://github.com/chan0park/VoynaSlov and will be regularly updated as we continuously collect more data.

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“…Mining of social media conversations, for instance, Tweets, to develop datasets has been of significant interest to the scientific community in the last few years, as can be seen from these recent works where relevant Tweets were mined to develop Twitter datasets on COVID-19 [31,32], 2022 war between Ukraine and Russia [33,34], European Migration Crisis [35], Inflammatory Bowel Disease [36], toxic behavior amongst adolescents [37], music [38], civil unrest [39], drug safety [40], and movies [41]. Such twitter datasets serve as a data resource for a wide range of applications and use-case scenarios related to studying the associated conversation paradigms as well as for investigating the patterns of the underlying information-seeking and sharing behavior.…”

Section: Introductionmentioning

confidence: 99%

MonkeyPox2022Tweets: The First Public Twitter Dataset on the 2022 MonkeyPox Outbreak

Thakur¹

2022

Preprint

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The world is currently facing an outbreak of the monkeypox virus, and confirmed cases have been reported from 28 countries. Following a recent “emergency meeting”, the World Health Organization is considering whether the outbreak should be assessed as a “potential public health emergency of international concern” or PHEIC, as was done for the COVID-19 and Ebola outbreaks in the past. During this time, people from all over the world are using social media platforms, such as Twitter, for information seeking and sharing related to the outbreak, as well as for familiarizing themselves with the guidelines and protocols that are being recommended by various policy-making bodies to reduce the spread of the virus. This is resulting in the generation of tremendous amounts of Big Data related to such paradigms of social media behavior. Mining this Big Data and compiling it in the form of a dataset can serve as a data resource for a wide range of use-cases and applications such as analysis of public opinions, interests, views, perspectives, attitudes, and sentiment towards this outbreak. Therefore, this work presents MonkeyPox2022Tweets, an open-access dataset of Tweets related to the 2022 monkeypox outbreak that were posted on Twitter since the first detected case of this outbreak on May 7, 2022. The dataset is compliant with the privacy policy, developer agreement, and guidelines for content redistribution of Twitter, as well as with the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) principles for scientific data management.

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Twitter Dataset for 2022 Russo-Ukrainian Crisis

Cited by 23 publications

References 0 publications

A Reddit Dataset for the Russo-Ukrainian Conflict in 2022

A Reddit Dataset for the Russo-Ukrainian Conflict in 2022

VoynaSlov: A Data Set of Russian Social Media Activity during the 2022 Ukraine-Russia War

MonkeyPox2022Tweets: The First Public Twitter Dataset on the 2022 MonkeyPox Outbreak

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