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Article
Publication date: 17 May 2024

Afshin Omidi, Cinzia Dal Zotto and Robert G. Picard

Tracing audience preferences via audience analytics software has become a vital strategy for many news organizations to ensure their competitiveness in media markets. Extant…

Abstract

Purpose

Tracing audience preferences via audience analytics software has become a vital strategy for many news organizations to ensure their competitiveness in media markets. Extant research also confirms the growing presence of these tools in digital news work in recent years across many local and international news media. However, little is understood about the analytics-driven tensions emerging among journalists and media managers. This paper aims to address this gap by drawing on the labor process theory, which critically analyzes labor and workplace transformations under capitalism.

Design/methodology/approach

The present study employs an interview-based qualitative methodology to deeply understand the factors at the base of the emerging tensions between news workers and managers brought about by audience metrics tools.

Findings

Results show how some perceptions, activities and contextual triggers related to analytics could make relationships between workers and managers problematic. The pressures felt by some journalists stemmed from the way their media managers introduced, interpreted, communicated and applied analytics in the workplace, which were not tied to the quality and learning goals related to journalists’ aspirations. As our evidence suggests, the analytics-induced tensions among news workers were rather an outcome of managerial deficits than of systematic plans to exploit journalists.

Originality/value

By identifying the nature of fundamental analytics-driven tensions in newsrooms, this paper contributes to our understanding of how media managers can embrace more effective approaches toward audience analytics, workforce and organizational performance.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

Keywords

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