Russia-Ukraine, a comparative analysis of the Twitter audience of the profiles of the Government of the Russian Federation and the Office of the President of Ukraine

被引:10
|
作者
Donofrio, Andrea [1 ]
Rubio Moraga, Angel Luis [1 ]
Abellan Guzman, Carolina [2 ]
机构
[1] Univ Complutense Madrid, Fac Ciencias Informac, Dept Periodismo & Comunicac, Madrid, Spain
[2] Univ Complutense Madrid, Madrid, Spain
来源
关键词
Social audience; War; Social media; Russia; Twitter; Ukraine; Vladimir Putin; FACEBOOK;
D O I
10.4185/RLCS-2022-1819
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Introduction: On February 24, 2022, the Russian invasion of Ukraine began. The conflict has also spread on social networks, where both the invader and the invaded are responsible for building their own story. Objectives: To carry out a comparative analysis of the social audience on Twitter of the profiles o f the Government o f the Russian Federation ( @GovernmentRF) and the Office of the President of Ukraine (@APUkraine). Methodology: Two social analytics tools based on the application of audience intelligence algorithms have been used, with a double objective: on the one hand, to carry out an analysis of the composition of the social audience of the chosen profiles; and on the other hand, through the choice of keywords, identify which profiles achieve greater reach and authority. Discussion and results: The applications have allowed us to study the audiences of the two selected profiles, providing a detailed description of t he s egments o r c ommunities t hat shape that audience, their demographic and psychographic data, while allowing segments to be connected. of audiences with other social listening and analytics platforms, influencer marketing tools, digital advertising platforms and other social analytics applications. Conclusions: The analysis carried out is of great importance to know the profile and interests of the Twitter audience of the followers of the official accounts of Russia and Ukraine, showing that words such as "no war" or "reject" are among the most repeated. in the tweets published between March 18 and April 17, 2022, as well as Hashtags about cities hit by war are the most used in these publications.
引用
收藏
页码:18 / 43
页数:26
相关论文
共 50 条
  • [31] News reception and authoritarian control in a hybrid media system: Russian TV viewers and the Russia-Ukraine conflict
    Alyukov, Maxim
    POLITICS, 2024, 44 (03) : 400 - 419
  • [32] Public Opinion Dynamics in Cyberspace on Russia-Ukraine War: A Case Analysis With Chinese Weibo
    Chen, Bingyang
    Wang, Xiao
    Zhang, Weishan
    Chen, Tao
    Sun, Chenyu
    Wang, Zhenqi
    Wang, Fei-Yue
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 9 (03) : 948 - 958
  • [33] The impact of the Russia-Ukraine War on European Union currencies: a high-frequency analysis
    Akarsu, Mahmut Zeki
    Gharehgozli, Orkideh
    POLICY STUDIES, 2024, 45 (3-4) : 353 - 376
  • [34] Nonlinear Dynamic Analysis of the US Defense Stock Markets under the Russia-Ukraine Conflict
    Wu, Xinpei
    Xu, Heming
    Wu, Shuo
    Huang, Menghao
    Wang, Jian
    FLUCTUATION AND NOISE LETTERS, 2024, 23 (01):
  • [35] Impact of Russia-Ukraine war attention on cryptocurrency: Evidence from quantile dependence analysis
    Khalfaoui, Rabeh
    Gozgor, Giray
    Goodell, John W.
    FINANCE RESEARCH LETTERS, 2023, 52
  • [36] Analysis of the Impact of the Russia-Ukraine Conflict on Global Liquefied Natural Gas Shipping Network
    Ke, Ranxuan
    Wang, Xiaoran
    Peng, Peng
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2025, 13 (01)
  • [37] Multifractal Analysis of International Energy and Agricultural Markets Under the Influence of Russia-Ukraine Conflict
    Wei, Jing-Wen
    Wang, Hong-Yong
    Cao, Guang-Xi
    FLUCTUATION AND NOISE LETTERS, 2024, 23 (04):
  • [38] NFTs versus conventional cryptocurrencies: A comparative analysis of market efficiency around COVID-19 and the Russia-Ukraine conflict
    Okorie, David Iheke
    Bouri, Elie
    Mazur, Mieszko
    QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2024, 95 : 126 - 151
  • [39] RUemo-The Classification Framework for Russia-Ukraine War-Related Societal Emotions on Twitter through Machine Learning
    Vyas, Piyush
    Vyas, Gitika
    Dhiman, Gaurav
    ALGORITHMS, 2023, 16 (02)
  • [40] TERRITORIAL TORT EXCEPTION? THE UKRAINIAN SUPREME COURT HELD THAT THE RUSSIAN FEDERATION COULD NOT PLEAD IMMUNITY WITH REGARD TO TORT CLAIMS BROUGHT BY THE VICTIMS OF THE RUSSIA-UKRAINE WAR
    Karnaukh, Bohdan
    ACCESS TO JUSTICE IN EASTERN EUROPE, 2022, (03) : 165 - 177