Exploring Information Warfare Strategies during the Russia-Ukraine War on Twitter

被引:0
|
作者
Hou, Shu-Min
Fu, Wen-Cheng [1 ]
Lai, Shao-Yi
机构
[1] Taiwan AI Labs, Taipei, Taiwan
来源
KOREAN JOURNAL OF DEFENSE ANALYSIS | 2023年 / 35卷 / 01期
关键词
artificial intelligence; hybrid war; information warfare; Twitter; Russia- Ukraine war; social media; SOCIAL NETWORKING SITES; INTERNET; BOTS;
D O I
10.22883/kjda.2023.35.1.002
中图分类号
D81 [国际关系];
学科分类号
030207 ;
摘要
Twitter, one of the mainstream social media platforms, has played a significant role in strategic communication and public diplomacy. Using tweets during the 2022 Russia-Ukraine war period as a case study, the researchers aim to build a pipeline that automatically detects information manipulation. Artificial intelligence and machine learning technology are adopted to target certain coordinated groups of people, and how they manipulate online public opinion internationally via social media platforms by retweeting identical tweets between members within the groups and even with their own tweets. With the large number of tweets posted and retweeted by the coordinated groups, their intended content will appear in the news feeds of normal users. This study maps an approach to future warfare that social media is becoming a vital part of information warfare to influence the results of conflict and regional relationships. The researchers argue that the government should consider taking countermeasures: 1) Set up legislation regarding media platforms and cooperate with social media companies to monitor manipulating behaviors. 2) Establish a model to orchestrate inter-agency defensive strategies. 3) Increase people's media literacy to allow them to be aware of manipulative and collaborative behavior and decrease their likeliness to spread fake/manipulated information online unintentionally. Also, similar research can be adapted to different regional conflicts.
引用
收藏
页码:19 / 44
页数:26
相关论文
共 50 条
  • [1] Strategies of the Sides in the Russia-Ukraine War
    Bahinskyi, Andrii
    Zaiets, Olha
    [J]. OBRANA A STRATEGIE-DEFENCE & STRATEGY, 2023, 23 (02): : 63 - 81
  • [2] Mobility Pattern Analysis during Russia-Ukraine War Using Twitter Location Data
    Shu, Yupei
    Chen, Xu
    Di, Xuan
    [J]. INFORMATION, 2024, 15 (02)
  • [3] Influence of social bots in information warfare: A case study on @UAWeapons Twitter account in the context of Russia-Ukraine conflict
    Li, Qian
    Liu, Qian
    Liu, Shaoqiang
    Di, Xinyue
    Chen, Siyu
    Zhang, Hongzhong
    [J]. COMMUNICATION AND THE PUBLIC, 2023, 8 (02) : 54 - 80
  • [4] Repercussions of the Russia-Ukraine war
    Tong, Eric
    [J]. INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2024, 89 : 366 - 390
  • [6] Science and the Russia-Ukraine War
    [J]. Glycoconjugate Journal, 2022, 39 : 473 - 473
  • [7] Analyzing the online public sentiments related to Russia-Ukraine war over Twitter
    Gulzar, Rahat
    Gul, Sumeer
    Verma, Manoj Kumar
    Darzi, Mushtaq Ahmad
    Gulzar, Farzana
    Shueb, Sheikh
    [J]. GLOBAL KNOWLEDGE MEMORY AND COMMUNICATION, 2023,
  • [8] Valuation of European firms during the Russia-Ukraine war
    Bougias, Alexandros
    Episcopos, Athanasios
    Leledakis, George N.
    [J]. ECONOMICS LETTERS, 2022, 218
  • [9] Economic costs of the Russia-Ukraine war
    Liadze, Iana
    Macchiarelli, Corrado
    Mortimer-Lee, Paul
    Juanino, Patricia Sanchez
    [J]. WORLD ECONOMY, 2023, 46 (04): : 874 - 886
  • [10] The Cyber Dimension of the Russia-Ukraine War
    Willett, Marcus
    [J]. SURVIVAL, 2022, 64 (05) : 7 - 26