Abstract

This article studies the algorithmic project News values at Swedish public service radio, from the perspective of datafied managerialism. Drawing on ethnographic observations and interviews with managers the study shows how the project, that outwardly works to automate news-sorting algorithmically, was employed to generate data about a number of internal journalistic activities, for a variety of purposes. Data was perceived of as a type of capital that could engender, amongst other things, increased knowledge about the internal workings of the organization, thus making it easier to audit its activities, and to standardize the practice of news-valuation throughout SR. Importantly, these goals were not planned in advance, but emerged over the course of the project. The results show how longitudinal approaches to algorithms and data-collection could benefit journalism studies, as they provide a more comprehensive picture of how data are operationalized in journalistic organizations.

摘要

本文研究算法项目News值在瑞典公共服务电台，从数据化管理主义的角度来看。该研究利用民族志观察和对管理人员的采访，展示了该项目如何在表面上通过算法自动进行新闻分类，用于生成有关许多内部新闻活动的数据，用于各种目的。数据被视为一种资本，除其他外，它可以增加对组织内部运作的了解，从而更容易审计其活动，并使整个 SR 的新闻评估实践标准化。重要的是，这些目标不是事先计划好的，而是在项目过程中出现的。结果显示了算法和数据收集的纵向方法如何有益于新闻研究，