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The study of coordinated manipulation of conversations on social media hasbecome more prevalent as social media's role in amplifying misinformation,hate, and polarization has come under scrutiny. We discuss the implications ofsuccessful coordination detection algorithms based on shifts of power, andconsider how responsible coordination detection may be carried out throughsynchronized action. We then propose a Synchronized Action Framework fordetection of automated coordination through construction and analysis ofmulti-view networks. We validate our framework by examining the Reopen Americaconversation on Twitter, discovering three coordinated campaigns. We furtherinvestigate covert coordination surrounding the protests and find the task tobe far more complex than examples seen in prior work, demonstrating the needfor our multi-view approach. A cluster of suspicious users is identified andthe activity of three members is detailed. These users amplify protest messagesusing the same hashtags at very similar times, though they all focus ondifferent states. Through this analysis, we emphasize both the potentialusefulness of coordination detection algorithms in investigating amplification,and the need for careful and responsible deployment of such tools.

A Synchronized Action Framework for Responsible Detection of Coordination on Social Media