Public Service Broadcasting and Data-Driven Personalization

Abstract

Through an interview-based study of Swedish public service broadcasting (PSB) companies, I explore the ways in which these institutions react to and interact with a set of normative conceptions of a contemporary digital media ecology characterized by social networking and personalization of the media experience. The respondents were engaged in negotiations of how to realistically maintain public values in a commercially configured online milieu. The nature of organizational adaptation within PSB is found to be complex. Several elements of the Nordic PSB model appear to counteract acquiescence to algorithmically aided personalization: its majoritarian heritage, its institutional caution toward data positivism, favoring more interpretive editorial audience knowledge, and the high costs and structural consequences of making individual users uniquely identifiable. These organizational ambitions and obstacles are embodied in recent innovations that act to mimic a personalized delivery, however, doing so without utilizing algorithmically aided prediction and instead favoring manual editorial selection.