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dc.contributor.authorAlrhmoun, Abdullah
dc.contributor.authorWinter, Charlie
dc.contributor.authorKertész, János
dc.date.accessioned2023-06-16T14:43:03Z
dc.date.available2023-06-16T14:43:03Z
dc.date.issued2023
dc.identifier.issn0954-6553, 1556-1836
dc.identifier.doi10.1080/09546553.2023.2169141
dc.identifier.urihttp://hdl.handle.net/20.500.14018/13792
dc.description.abstractIn this article, we use network science to explore the topology of the Islamic State’s “terrorist bot” network on the online social media platform Telegram, empirically identifying its connections to the Islamic State supporter-run groups and channels that operate across the platform, with which these bots form bipartite structures. As part of this, we examine the diverse activities of the bots to determine the extent to which they operate in synchrony with one another as well as explore their impacts. We show that these bots are mainly clustered around two communities of Islamic State supporters, or “munasirun,” with one community focusing on facilitating discussion and exchange, and the other one augmenting content distribution efforts. Operating as such, this network of bots is used to lubricate and augment the Islamic State’s influence activities, including facilitating content amplification and community cultivation efforts, and connecting people with the movement based on common behaviors, shared interests, and/or ideological proximity while minimizing risk for the broader organization.
dc.language.isoeng
dc.publisherTaylor & Francis
dc.rightsCC BY-NC-ND 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleAutomating Terror: The Role and Impact of Telegram Bots in the Islamic State’s Online Ecosystem
dc.typeJournal article
dc.source.journaltitleTerrorism and Political Violence
dc.source.spage1
dc.source.epage16
dc.description.versionPublished version
refterms.dateFOA2023-06-16T14:43:04Z
dc.contributor.unitDepartment of Network and Data Science
dc.source.journalabbrevTerrorism and Political Violence
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/09546553.2023.2169141


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