Digital Journalism and Epistemologies of News Production

Abstract

News is the result of news production, a set of epistemic processes for developing knowledge about current events or issues that draw upon a range of newsgathering techniques and formatting choices with the objective of yielding a publishable and distributable product designed to inform others. That process, however, has changed considerably over time and in parallel to broader economic, political, professional, social, and technological changes. For example, during the past two decades alone, there has been greater audience fragmentation and an emphasis on audience measurement, new forms of strategic exploitation of information channels and digital surveillance of journalists, greater aggregation of news and more avenues for professional convergence, a media environment awash in user-generated content and challenges to traditional outlets’ epistemic authority, and more opportunities for interactivity and miniaturized mobilities. In concert, these and other forces have transformed news production processes that have become increasingly digital—from who the actors are to the actants that are available to them, the activities they may engage in, and the audiences they can interact with. Such impacts have required scholars to revisit different theories that help explain how news is produced and with what consequences. Whereas the field of journalism studies draws on a rich history of multidisciplinary theorizing, epistemologies of journalism have received increased attention in recent years. There is a close link between news production and epistemology because the production of news inherently involves developing news information into one form of knowledge. As such, an epistemological lens allows scholars to examine the production, articulation, justification, and use of knowledge within the social context of digital journalism. An analytic matrix of 10 dimensions—the epistemologies of journalism matrix—helps scholars examine different forms of journalism through an epistemological lens. The matrix focuses on identifying the key (a) social actors, (b) technological actants, and (c) audiences within a space of journalism; examining their articulation or justification of (d) knowledge claims and their distinct (e) practices, norms, routines, and roles; differentiating between the (f) forms of knowledge they typically convey; and evaluating the similarities and dissimilarities in their typical (g) narrative structure, (h) temporality, (i) authorial stance, and (j) status of text. By applying that matrix to four emerging forms of journalism (participatory journalism, live blogging, data journalism, and automated journalism), it can be seen that digital journalism and news production are becoming even more heterogeneous in terms of their implicated entities, cultures and methods, and positionality in relation to matters of knowledge and authority. First, contemporary news production is deeply influenced by myriad technological actants, which are reshaping how knowledge about current events is being created, evaluated, and disseminated. Second, professional journalists are losing epistemic authority over the news as key activities are delegated to algorithms created by non-journalists and to citizens who have become more present in news production. Third, the outputs of news production are becoming more diverse both in form and in content, further challenging long-standing norms about what is and is not “journalism.” In short, history has shown that news production will continue to evolve, and an epistemological lens affords scholars a useful and adaptable approach for understanding the implications of those changes to the production of knowledge about news.

Publication
Oxford Research Encyclopedia of Communication
Rodrigo Zamith
Rodrigo Zamith
Associate Professor

My research and teaching interests lie at the intersection of journalism and technology, with a focus on the reconfiguration of journalism in a changing media environment and the development of digital research methods for social scientists.