ABSTRACT. The research presented in this article focuses on the utilization of automated journalism in newsrooms, the conventional character underlying compositional types of news exposed by the advent of automated news content products, and the function of computer-authored news in the social routine of journalism. My paper contributes to the literature by supplying evidence on the developing practice of automated news content generation, the transformative capacity of automated journalism to transform both the setting of available news and the labor routines of newspersons, and algorithmic transparency in news production.
JEL codes: E24; J21; J54; J64

Keywords: automated journalism; news content generation; labor practice

How to cite: Farber, Michael (2017). “The Future of Journalistic Labor in the Age of Digital Narratives: The Algorithmic Authority of Automated News as a Legitimate Knowledge Producer,” Psychosociological Issues in Human Resource Management 5(2): 199–204.

Received 9 October 2017 • Received in revised form 11 November 2017
Accepted 12 November 2017 • Available online 21 November 2017


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Center for Behavioral Decision Research, Boston

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