How are transformations in newswork intersecting with changes in the monitoring of reader behavior and new technologies of audience measurement? How, in short, are journalistic ‘visions of the audience’ shifting in the online era, and how are they enabling particular editorial practices? This article explores a provocative tension between the now common rhetorical invocation of the news audience as a ‘productive and generative’ entity, and the simultaneous, increasingly common institutional reduction of the audience to a quantifiable, rationalizable, largely consumptive aggregate. The first half of article reviews the literature on the relationship between audience understanding and newsroom practices. The second half of the article is comprised of an ethnographic analysis of the manner by which increasingly prominent and widespread techniques of audience measurement and quantification interact with the newsroom rhetoric of the active, generative audience. The article concludes with some thoughts regarding the role played by audience quantification and rationalization in shifting newswork practices. It argues that the underlying rhetoric of the active audience can be seen as laying the groundwork for a vision of the professional reporter that is less autonomous in his or her news decisions and increasingly reliant on audience metrics as a supplement to news judgment.

This article advances a sociological approach to computational journalism. By “computational journalism” the article refers to the increasingly ubiquitous forms of algorithmic, social scientific, and mathematical forms of newswork adopted by many 21st-century newsrooms and touted by many educational institutions as “the future of news.” By “sociological approach,” the article endorses a research model that brackets, at least temporarily, many of the current industry concerns with the practical usability of newsroom analysis. The bulk of the article outlines a series of six lenses through which such an approach to computational journalism might be carried out. Four of these lenses are drawn from Schudson’s classic typology of the sociology of news—economic, political, cultural, and organizational approaches. In addition, the author adds Bordieuean field approaches and technological lenses to the mix. In each instance, the author discusses how particular approaches might need to be modified in order to study computational journalism in the digital age.

No abstract

Let ξn be the maximum of a set of n independent random variables with common distribution function F whose support consists of all sufficiently large positive integers. Some of the classical asymptotic results of extreme value theory fail to apply to ξn for such F and this paper attempts to find weaker ones which give some description of the behaviour of ξn as n → ∞. These are then applied to the extreme value theory of certain regenerative stochastic processes.

No abstract