Coordinated Behavior in Information Operations on Twitter

被引:2
作者
Cima, Lorenzo [1 ,2 ]
Mannocci, Lorenzo [1 ,2 ]
Avvenuti, Marco [1 ]
Tesconi, Maurizio [2 ]
Cresci, Stefano [2 ]
机构
[1] Univ Pisa, Dept Informat Engn, I-56126 Pisa, Italy
[2] Inst Informat & Telemat IIT, Natl Res Council CNR, I-00185 Rome, Italy
关键词
Social networking (online); Blogs; Chatbots; Task analysis; Media; Machine learning; Information integrity; Behavioral sciences; Fake news; Coordinated behavior; information operations; disinformation; Twitter;
D O I
10.1109/ACCESS.2024.3393482
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Online information operations (IOs) refer to organized attempts to tamper with the regular flow of information and to influence public opinion. Coordinated online behavior is a tactic frequently used by IO perpetrators to boost the spread and outreach of their messages. However, the exploitation of coordinated behavior within large-scale IOs is still largely unexplored. Here, we build a novel dataset comprising around 624K users and 4M tweets to study how online coordination was used in two recent IOs carried out on Twitter. We investigate the interplay between coordinated behavior and IOs with state-of-the-art network science and coordination detection methods, providing evidence that the perpetrators of both IOs were indeed strongly coordinated. Furthermore, we propose quantitative indicators and analyses to study the different patterns of coordination, uncovering a malicious group of users that managed to hold a central position in the discussion network, and others who remained at the periphery of the network, with limited interactions with genuine users. The nuanced results enabled by our analysis provide insights into the strategies, development, and effectiveness of the IOs. Overall, our results demonstrate that the analysis of coordinated behavior in IOs can contribute to safeguarding the integrity of online platforms.
引用
收藏
页码:61568 / 61585
页数:18
相关论文
共 85 条
  • [61] Robertson R. E., 2022, J. OnlineTrust Saf, V1, P1
  • [62] Anomaly detection in online social networks
    Savage, David
    Zhang, Xiuzhen
    Yu, Xinghuo
    Chou, Pauline
    Wang, Qingmai
    [J]. SOCIAL NETWORKS, 2014, 39 : 62 - 70
  • [63] Coordination patterns reveal online political astroturfing across the world
    Schoch, David
    Keller, Franziska B.
    Stier, Sebastian
    Yang, JungHwan
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [64] Heidenreich HS, 2020, Arxiv, DOI arXiv:2008.02874
  • [65] Focal structures analysis: identifying influential sets of individuals in a social network
    Şen F.
    Wigand R.
    Agarwal N.
    Tokdemir S.
    Kasprzyk R.
    [J]. Şen, Fatih (fsen@uthsc.edu), 1600, Springer-Verlag Wien (06):
  • [66] Identifying Coordinated Accounts on Social Media through Hidden Influence and Group Behaviours
    Sharma, Karishma
    Zhang, Yizhou
    Ferrara, Emilio
    Liu, Yan
    [J]. KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 1441 - 1451
  • [67] Sharp J.M., 2019, Yemen: civil war and regional intervention
  • [68] Disinformation as collaborative work: Surfacing the participatory nature of strategic information operations
    Starbird K.
    Arif A.
    Wilson T.
    [J]. Proceedings of the ACM on Human-Computer Interaction, 2019, 3 (CSCW)
  • [69] Disinformation's spread: bots, trolls and all of us
    Starbird, Kate
    [J]. NATURE, 2019, 571 (7766) : 449 - 449
  • [70] Suzor NP, 2019, INT J COMMUN-US, V13, P1526