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Cited by 384

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

An Emotional Turn in Journalism Studies?

Wahl-Jorgensen, Karin·2020·Digital Journalism

Abstract

This article develops the idea of an “emotional turn” in journalism studies, which has led to an increasingly nuanced investigation of the role of emotion in the production, texts and audience engagement with journalism. These developments have occurred in tandem with, and accelerated by, the emergence of digital and social media. Research on news production has shown that journalistic work has always taken emotion into consideration, shaping approaches to storytelling and presentation. However, the view of journalists as detached observers has rendered the emotional labor associated with news production invisible. Research on emotion in journalistic texts has highlighted the fact that even conventional “hard news genres” are shaped by an engagement with emotion. As studies on news audiences and emotions have shown, audiences are more likely to be emotionally engaged, recall information and take action when news stories are relatable. The affordances of digital platforms and social media have had a profound impact on the space for emotion. The expanded opportunities for participation have contributed to questioning traditional distinctions between news audiences and producers and have ushered in new and more forms of emotional expression that have spilled over into practices of news production.

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Metadata

Authors
Wahl-Jorgensen, K.
Venue
Digital Journalism
Published
2019-12-12
Volume
8
Issue
2
Pages
175-194
ISSN
  • 2167-0811 (ISSN-L)
  • 2167-082X
OpenAlex
W2996054510
Cited by
384
References
92
FWCI
65.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Emotional Turn in Journalism Studies? https://app.cochat.ai/papers/10.1080/21670811.2019.1697626
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Wahl-Jorgensen, K. (2020). An Emotional Turn in Journalism Studies? Digital Journalism. https://doi.org/10.1080/21670811.2019.1697626

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.