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arXiv:2208.07038physics.soc-ph

#IStandWithPutin versus #IStandWithUkraine: The interaction of bots and humans in discussion of the Russia/Ukraine war

Bridget Smart, Joshua Watt, Sara Benedetti, Lewis Mitchell, Matthew Roughan

Abstract

The 2022 Russian invasion of Ukraine emphasises the role social media plays in modern-day warfare, with conflict occurring in both the physical and information environments. There is a large body of work on identifying malicious cyber-activity, but less focusing on the effect this activity has on the overall conversation, especially with regards to the Russia/Ukraine Conflict. Here, we employ a variety of techniques including information theoretic measures, sentiment and linguistic analysis, and time series techniques to understand how bot activity influences wider online discourse. By aggregating account groups we find significant information flows from bot-like accounts to non-bot accounts with behaviour differing between sides. Pro-Russian non-bot accounts are most influential overall, with information flows to a variety of other account groups. No significant outward flows exist from pro-Ukrainian non-bot accounts, with significant flows from pro-Ukrainian bot accounts into pro-Ukrainian non-bot accounts. We find that bot activity drives an increase in conversations surrounding angst (with p = 2.450 x 1e-4) as well as those surrounding work/governance (with p = 3.803 x 1e-18). Bot activity also shows a significant relationship with non-bot sentiment (with p = 3.76 x 1e-4), where we find the relationship holds in both directions. This work extends and combines existing techniques to quantify how bots are influencing people in the online conversation around the Russia/Ukraine invasion. It opens up avenues for researchers to understand quantitatively how these malicious campaigns operate, and what makes them impactful.

arXiv comments
12 pages, 7 figures, to be published in SocInfo 2022. Dataset available at https://figshare.com/articles/dataset/Tweet_IDs_Botometer_results/20486910
Journal reference
DOI
doi:10.1007/978-3-031-19097-1_3
Subjects
physics.soc-phPhysics and Society

On Hacker News

Linked by 2 identifiable commenters in 2 comments across 2 threads, from Sep 2022 to Nov 2022. Found in 2 HN submissions from Sep 2022 to Sep 2022. Open submission discussions.

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Discussed in comments2 threads

    • https://arxiv.org/abs/2208.07038 Also potentially related : https://thehill.com/policy/cybersecurity/3508639-cyber-comma...

      kilolimaView on HNParent context

    • > The bots also increase online discussion around motion, observed the research paper, by tweeting posts with words like “moving”, “go”, “going”, “leave”, which are potentially associated with staying or fleeing the country. Pick 'leave'. Is this "I think _we_ should leave" or…

      bArrayView on HNParent context

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Connected through shared HN threads, not inferred similarity or a recommendation.