Proceedings of the Fifteenth International AAAI Conference on Web and Social Media (ICWSM 2021) Uncovering Coordinated Networks on Social Media: Methods and Case Studies Diogo Pacheco,∗1,2 Pik-Mai Hui,∗1 Christopher Torres-Lugo,∗1 Bao Tran Truong,1 Alessandro Flammini,1 Filippo Menczer1 1Observatory on Social Media, Indiana University Bloomington, USA 2Department of Computer Science, University of Exeter, UK
[email protected],fhuip,torresch,baotruon,aflammin,fi
[email protected] Abstract develop software to impersonate users and hide the iden- tity of those who control these social bots — whether they Coordinated campaigns are used to influence and manipulate are fraudsters pushing spam, political operatives amplifying social media platforms and their users, a critical challenge to misleading narratives, or nation-states waging online war- the free exchange of information online. Here we introduce a general, unsupervised network-based methodology to un- fare (Ferrara et al. 2016). Cognitive and social biases make cover groups of accounts that are likely coordinated. The pro- us even more vulnerable to manipulation by social bots: posed method constructs coordination networks based on ar- limited attention facilitates the spread of unchecked claims, bitrary behavioral traces shared among accounts. We present confirmation bias makes us disregard facts, group-think five case studies of influence campaigns, four of which in the and echo chambers distort perceptions of norms, and the diverse contexts of U.S. elections, Hong Kong protests, the bandwagon effect makes us pay attention to bot-amplified Syrian civil war, and cryptocurrency manipulation. In each memes (Weng et al. 2012; Hills 2019; Ciampaglia et al.