Beyond Interaction Patterns: Assessing Claims of Coordinated Inter-State Information Operations on Twitter/X

Social media platforms have become key tools for coordinated influence operations, enabling state actors to manipulate public opinion through strategic, collective actions. While previous research has suggested collaboration between states, such research failed to leverage state-of-the-art coordination indicators or control datasets. In this study, we investigate inter-state coordination by analyzing multiple online behavioral traces and using sophisticated coordination detection models. By incorporating a control dataset to differentiate organic user activity from coordinated efforts, our findings reveal no evidence of inter-state coordination. These results challenge earlier claims and underscore the importance of robust methodologies and control datasets in accurately detecting online coordination.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3715575
Citations
3
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
3.97
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article

Beyond Interaction Patterns: Assessing Claims of Coordinated Inter-State Information Operations on Twitter/X

Alessandro Flammini, Filippo Menczer, David Axelrod, Emilio Ferrara et al.
3 citations
Complex Network Analysis Techniques
3.97
article

Beyond Interaction Patterns: Assessing Claims of Coordinated Inter-State Information Operations on Twitter/X

Alessandro Flammini, Filippo Menczer, David Axelrod, Emilio Ferrara, Luca Luceri, Valeria Pantè
article en
3 citations

Abstract

Social media platforms have become key tools for coordinated influence operations, enabling state actors to manipulate public opinion through strategic, collective actions. While previous research has suggested collaboration between states, such research failed to leverage state-of-the-art coordination indicators or control datasets. In this study, we investigate inter-state coordination by analyzing multiple online behavioral traces and using sophisticated coordination detection models. By incorporating a control dataset to differentiate organic user activity from coordinated efforts, our findings reveal no evidence of inter-state coordination. These results challenge earlier claims and underscore the importance of robust methodologies and control datasets in accurately detecting online coordination.

University of Southern California (US), Indiana University Bloomington (US)
Openalex Percentile: Top 6%
Complex Network Analysis Techniques
3.97
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Beyond Interaction Patterns: Assessing Claims of Coordinated Inter-State Information Operations on Twitter/X — Alessandro Flammini, Filippo Menczer, et al. · (2025) | TGRS Research Map | TGRS