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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. THE RUSSIA-UKRAINE WAR IN 400 YOUTUBE VIDEOS: A BIG DATA ANALYSIS
    Namkil Kang
    Journal of Data Acquisition and Processing, 2023, 38 (1): 3269-3298 . 

    Abstract

    The ultimate goal of this paper is to analyze 400 YouTube videos and their comments regarding the Russia-Ukraine war.A point to note is that there occurred 56 words whose frequency is 12 tokens (the highest frequency). A further point to note is that in a word cloud, the word Ukraine is represented as the biggist in size. This in turn indicates that in 400 YouTube videos and their comments, this word occurred more frequently than the other words and thus it counts as central and pivotal. With respect to topics constituting 400 YouTube videos and their comments, it is worth noting that topic 13 was the most occurred one, followed by topic 7, topic 5, and topic 3, in that order. When it comes to the frequency of words occurred in 400 YouTube videos and their comments, the word Ukraine was the most occurred one, followed by the word War, the word Russia, the word facebook, and the word News, in descending order.More importantly, this paper argues that the word comskynews has the highest centrality, followed by the word Facebook, the word News, and the word Ukraine,in that order. Finally, this paper shows that the keywords war, Russian, Russia, Ukraine, TV, channel, google,etc. are directly linked to the name Putin, whereas the keywords war, Ukrine, Russia, google, etc. are directly linked to the name Zelenskyy.

    Keyword

    Russia-Ukraine war, YouTube, topic, word cloud, centrality, keyword


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ISSN 1004-9037

         

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