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Open Access

Media Power Measuring via Emotional Contagion

Xue Lin1, Hong Huang1( ), Zongya Li2, Hai Jin1
National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
School of Journalism, Huazhong University of Science and Technology, Wuhan 430074, China
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Abstract

Media power, the impact that media have on public opinion and perspectives, plays a significant role in maintaining internal stability, exerting external influence, and shaping international dynamics for nations /regions. However, prior research has primarily concentrated on news content and reporting time, resulting in limitations in evaluating media power. To more accurately assess media power, we use news content, news reporting time, and news emotion simultaneously to explore the emotional contagion between media. We use emotional contagion to measure the mutual influence between media and regard the media with greater impact as having stronger media power. We propose a framework called Measuring Media Power via Emotional Contagion (MMPEC) to capture emotional contagion among media, enabling a more accurate assessment of media power at the media and national/regional levels. MMPEC also interprets experimental results through correlation and causality analyses, ensuring explainability. Case analyses confirm the higher accuracy of MMPEC compared to other baseline models, as demonstrated in the context of COVID-19-related news, yielding compelling and interesting insights.

Keywords

explainabilitymedia poweremotional contagion

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Journal of Social Computing
Volume 5 Issue 1,
March 2024
Pages 15-35
DOI: 10.23919/JSC.2024.0004
Cite this article:
Lin X, Huang H, Li Z, et al. Media Power Measuring via Emotional Contagion. Journal of Social Computing, 2024, 5(1): 15-35. https://doi.org/10.23919/JSC.2024.0004

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Received: 15 January 2024
Revised: 22 February 2024
Accepted: 05 March 2024
Published: 30 March 2024
© The author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
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