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Uncovering Coordinated Networks on Social Media: Methods and Case Studies

Authors

Diogo Pacheco,Pik-Mai Hui,Christopher Torres-Lugo,Bao Tran Truong,Alessandro Flammini,Filippo Menczer

Department of Computer Science, University of Exeter, UK Observatory on Social Media, Indiana University Bloomington, USA,Observatory on Social Media, Indiana University Bloomington, USA,Observatory on Social Media, Indiana University Bloomington, USA,Observatory on Social Media, Indiana University Bloomington, USA,Observatory on Social Media, Indiana University Bloomington, USA,Observatory on Social Media, Indiana University Bloomington, USA


Proceedings:

Vol. 15 (2021): Fifteenth International AAAI Conference on Web and Social Media

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Vol. 15 (2021): Fifteenth International AAAI Conference on Web and Social Media

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Abstract:

Coordinated campaigns are used to influence and manipulate social media platforms and their users, a critical challenge to the free exchange of information online. Here we introduce a general, unsupervised network-based methodology to uncover groups of accounts that are likely coordinated. The proposed method constructs coordination networks based on arbitrary behavioral traces shared among accounts. We present five case studies of influence campaigns, four of which in the diverse contexts of U.S. elections, Hong Kong protests, the Syrian civil war, and cryptocurrency manipulation. In each of these cases, we detect networks of coordinated Twitter accounts by examining their identities, images, hashtag sequences, retweets, or temporal patterns. The proposed approach proves to be broadly applicable to uncover different kinds of coordination across information warfare scenarios.

DOI:

10.1609/icwsm.v15i1.18075


ICWSM

Vol. 15 (2021): Fifteenth International AAAI Conference on Web and Social Media