The datafication of Public Service Media
Dreams, Dilemmas and Practical Problems A Case Study of the Implementation of Personalized Recommendations at the Danish Public Service Media ‘DR’
DOI:
https://doi.org/10.7146/mediekultur.v36i69.121180Keywords:
public service media, personalization, algorithmic recommendation, Video on Demand, public service broadcastingAbstract
Historically, public service broadcasting had no quantifiable knowledge about audiences, nor a great interest in knowing them. Today, the competitive logic of the media markets encourage public service media (PSM) organizations to increase datafication. In this paper we examine how a PSM organization interprets the classic public service obligations of creating societal cohesion and diversity in the new world of key performance indicators, business rules and algorithmic parameters.
The paper presents a case study of the implementation of a personalization system for the video on demand service of the Danish PSM ‘DR’. Our empirical findings, based on longitudinal in-depth interviewing, indicate a long and difficult process of datafication of PSM, shaped by both the organizational path dependencies of broadcasting production and the expectations of public service broadcasting.
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