(Re)defining Journalistic Expertise in the Digital Transformation: A Content Analysis of Job Announcements. (26th November 2019)

• Record Type: Journal Article
• Authors: Guo, Lei; Volz, Yong
• Is Part Of: Journalism practice. Volume 13:Number 10(2019)
• Page Start: 1294
• Page End: 1315
• Publication Date: 2019-11-26
• Subjects: Adaptive expertise -- content analysis -- innovative expertise -- interactional expertise -- job announcement -- journalistic expertise -- traditional expertise; Journalism -- Periodicals; 070.405
• DOI: 10.1080/17512786.2019.1588147
• Languages: English
• ISSNs: 1751-2786

Abstract

ABSTRACT: In the last decade or so, the attempt to rethink journalism expertise has been made in the context of a radically changing media environment. While many new journalism skills and knowledge areas have been identified, the existing literature lacks a clear conceptual framework that can comprehensively and systematically examine the many dimensions of journalistic expertise. Drawing on the expertise theory, this study explicates the concept of journalistic expertise and reviews the literature on the disruption, transformation, and reinvention of the journalism industry that forces a rethinking of journalistic expertise. Previous studies based on journalist job announcements are also reviewed and gaps identified. We then present an empirical content analysis of 669 journalist job announcements posted on Indeed.com from 1 July to 31 December 2017. Four types of journalistic expertise are proposed, identified and measured. The journalistic expertise preferences across different journalism platforms and for different journalistic positions are also analyzed. The conceptual implications of this study are addressed and the practical implications for journalists and journalism education are discussed.