Algorithmic Media Need Democratic Methods: Why Publics Matter

Abstract

Algorithms increasingly control the backbone of media and information systems. This control occurs deep within opaque technical systems far from the political attention capable of addressing its influence. It also challenges conventional public theory, because the technical operation of algorithms does not prompt the reflection and awareness necessary for forming publics. Informed public deliberation about algorithmic media requires new methods, or mediators, that translate their operations into something publicly tangible. Combining an examination of theoretical work from Science and Technology Studies (STS) with Communication Studies–grounded research into Internet traffic management practices, this article posits that mediating the issues raised by algorithmic media requires that we embrace democratic methods of Internet measurement.