Data craft: a theory/methods package for critical internet studies

Abstract

Disinformation campaigns continue to thrive online, despite social media companies’ efforts at identifying and culling manipulation on their platforms. Framing these manipulation tactics as ‘coordinated inauthentic behavior,’ major platforms have banned culprits and deleted the evidence of their actions from social activity streams, making independent assessment and auditing impossible. While researchers, journalists, and civil society groups use multiple methods for discovering and tracking disinformation, platforms began to publish highly curated data archives of disinformation in 2016. When platform companies reframe manipulation campaigns, however, they downplay the importance of their products in spreading disinformation. We propose to treat social media metadata as a boundary object that supports research across platforms and use metadata as an entry point for investigating manipulation campaigns. We illustrate how platform companies’ responses to disinformation campaigns are at odds with the interests of researchers, civil society, policy-makers, and journalists, limiting the capacity to audit the role that platforms play in political discourse. To show how platforms’ data archives of ‘coordinated inauthentic behavior’ prevent researchers from examining the contexts of manipulation, we present two case studies of disinformation campaigns related to the Black Lives Matter Movement. We demonstrate how data craft–the exploitation of metrics, metadata, and recommendation engines–played a prominent role attracting audiences to these disinformation campaigns. Additionally, we offer some investigative techniques for researchers to employ data craft in their own research of the disinformation. We conclude by proposing new avenues for research for the field of Critical Internet Studies.