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4 results for “War 2022”

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zenodo36/100

A Twitter Streaming Data Set collected before and after the Onset of the War between Russia and Ukraine in 2022

<p>Social media can be mirrors of human interaction, society, and world events. Their reach enables the global dissemination of information in the shortest possible time and thus the individual participation of people all over the world in global events in almost real-time. However, equally efficient, these platforms can be misused in the context of information warfare in order to manipulate human perception and opinion formation. The outbreak of war between Russia and Ukraine on February 24, 2022, demonstrated this in a striking manner.&nbsp;</p> <p>Here we publish a&nbsp;dataset of raw tweets collected by using the Twitter Streaming API in the context of the onset of the war which Russia started on Ukraine on February 24, 2022. A distinctive feature of the dataset is that it covers the period from one week before to one week after Russia&#39;s invasion of Ukraine. We publish the IDs of all tweets we streamed during that time, the time we rehydrated them using Twitter&#39;s API as well as the result of the rehydration. If you use this dataset, please cite our related Paper:&nbsp;</p> <blockquote> <p>Pohl, Janina Susanne and Seiler, Moritz Vinzent and Assenmacher, Dennis and Grimme, Christian, A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022 (March 25, 2022). Available at SSRN:&nbsp;<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543</a></p> </blockquote>

openMar 2022View details →
zenodo32/100

Supplementary material 1 from: Neagu AC, Manolache S, Rozylowicz L (2022) The drums of war are beating louder: Media coverage of brown bears in Romania. Nature Conservation 50: 65-84. https://doi.org/10.3897/natureconservation.50.86019

Appendix S1. Coding categories (adapted from Hughes et al. 2020) and descriptive statistics of analyzed media articles

opencc-zeroJan 2023View details →
zenodo16/100

10M anonymized Twitter human and bot profiles correlated with 2022 Russo-Ukrainian War discussion.

Open the record for dataset details and reuse information.

openMay 2024View details →
zenodo16/100

A Pseudonymized Rehydrated Tweets Data Set collected before and after the Onset of the War between Russia and Ukraine in 2022

<p>Related to our other dataset publication, which can be found <a href="https://zenodo.org/record/6381899#.Yj1mCy8w2J8">here</a>, we publish the pseudonymized texts of the tweets no longer available after the rehydration process via Twitter&#39;s&nbsp;historic search API. Please note that we restrict access to these datasets to specific parties under certain conditions, as can be seen below.&nbsp;</p> <p>The datasets contain the timestamps of the tweets, the pseudonymized full text, as well as the time of rehydration.&nbsp;</p> <p>If you gain access to this dataset, please cite our paper:&nbsp;</p> <blockquote> <p>Pohl, Janina Susanne and Seiler, Moritz Vinzent and Assenmacher, Dennis and Grimme, Christian, A Twitter Streaming Dataset collected before and after the Onset of the War between Russia and Ukraine in 2022 (March 25, 2022). Available at SSRN:&nbsp;<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066543</a></p> </blockquote>

restrictedMar 2022View details →

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