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Toward dialogue through a holistic measuring framework – the impact of social media on risk communication in the COVID-19

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Toward dialogue through a holistic measuring framework – the impact of social media on risk communication in the COVID-19. / Zhu, R.; Song, Y.; He, S. et al.
In: Information Technology and People, Vol. 35, No. 7, 07.02.2022, p. 2518-2540.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Zhu, R, Song, Y, He, S, Hu, X, Hu, W & Liu, B 2022, 'Toward dialogue through a holistic measuring framework – the impact of social media on risk communication in the COVID-19', Information Technology and People, vol. 35, no. 7, pp. 2518-2540. https://doi.org/10.1108/ITP-05-2021-0363

APA

Vancouver

Zhu R, Song Y, He S, Hu X, Hu W, Liu B. Toward dialogue through a holistic measuring framework – the impact of social media on risk communication in the COVID-19. Information Technology and People. 2022 Feb 7;35(7):2518-2540. Epub 2021 Dec 7. doi: 10.1108/ITP-05-2021-0363

Author

Zhu, R. ; Song, Y. ; He, S. et al. / Toward dialogue through a holistic measuring framework – the impact of social media on risk communication in the COVID-19. In: Information Technology and People. 2022 ; Vol. 35, No. 7. pp. 2518-2540.

Bibtex

@article{9c7bf98e2922451c9a263e7da9a0fb12,
title = "Toward dialogue through a holistic measuring framework – the impact of social media on risk communication in the COVID-19",
abstract = "Purpose: Despite the huge potential of social media, its functionality and impact for enhanced risk communication remain unclear. Drawing on dialogic theory by integrating both “speak from power” and “speak to power” measurements, the article aims to propose a systematic framework to address this issue. Design/methodology/approach: The impact of social media on risk communication is measured by the correlation between “speak from power” and “speak to power” levels, where the former primarily spoke to two facets of the risk communication process – rapidness and attentiveness, and the latter was benchmarked against popularity and commitment. The framework was empirically validated with data relating to coronavirus disease (COVID-19) risk communication in 25,024 selected posts on 17 official provincial Weibo accounts in China. Findings: The analysis results suggest the relationship between the “speak from power” and “speak to power” is mixed rather than causality, which confirms that neither the outcome-centric nor the process-centric method alone can render a full picture of government–public interconnectivity. Besides, the proposed interconnectivity matrix reveals that two provinces have evidenced the formation of government–public mutuality, which provides empirical evidence that dialogic relationships could exist in social media during risk communication. Originality/value: The authors' study proposed a prototype framework that underlines the need that the impact of social media on risk communication should and must be assessed through a combination of process and outcome or interconnectivity. The authors further divide the impact of social media on risk communication into dialogue enabler, “speak from power” booster, “speak to power” channel and mass media alternative. {\textcopyright} 2021, Emerald Publishing Limited.",
keywords = "COVID-19, Dialogic theory, Risk communication, Social media",
author = "R. Zhu and Y. Song and S. He and X. Hu and W. Hu and B. Liu",
note = "This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited. ",
year = "2022",
month = feb,
day = "7",
doi = "10.1108/ITP-05-2021-0363",
language = "English",
volume = "35",
pages = "2518--2540",
journal = "Information Technology and People",
issn = "0959-3845",
publisher = "Emerald Group Publishing Ltd.",
number = "7",

}

RIS

TY - JOUR

T1 - Toward dialogue through a holistic measuring framework – the impact of social media on risk communication in the COVID-19

AU - Zhu, R.

AU - Song, Y.

AU - He, S.

AU - Hu, X.

AU - Hu, W.

AU - Liu, B.

N1 - This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.

PY - 2022/2/7

Y1 - 2022/2/7

N2 - Purpose: Despite the huge potential of social media, its functionality and impact for enhanced risk communication remain unclear. Drawing on dialogic theory by integrating both “speak from power” and “speak to power” measurements, the article aims to propose a systematic framework to address this issue. Design/methodology/approach: The impact of social media on risk communication is measured by the correlation between “speak from power” and “speak to power” levels, where the former primarily spoke to two facets of the risk communication process – rapidness and attentiveness, and the latter was benchmarked against popularity and commitment. The framework was empirically validated with data relating to coronavirus disease (COVID-19) risk communication in 25,024 selected posts on 17 official provincial Weibo accounts in China. Findings: The analysis results suggest the relationship between the “speak from power” and “speak to power” is mixed rather than causality, which confirms that neither the outcome-centric nor the process-centric method alone can render a full picture of government–public interconnectivity. Besides, the proposed interconnectivity matrix reveals that two provinces have evidenced the formation of government–public mutuality, which provides empirical evidence that dialogic relationships could exist in social media during risk communication. Originality/value: The authors' study proposed a prototype framework that underlines the need that the impact of social media on risk communication should and must be assessed through a combination of process and outcome or interconnectivity. The authors further divide the impact of social media on risk communication into dialogue enabler, “speak from power” booster, “speak to power” channel and mass media alternative. © 2021, Emerald Publishing Limited.

AB - Purpose: Despite the huge potential of social media, its functionality and impact for enhanced risk communication remain unclear. Drawing on dialogic theory by integrating both “speak from power” and “speak to power” measurements, the article aims to propose a systematic framework to address this issue. Design/methodology/approach: The impact of social media on risk communication is measured by the correlation between “speak from power” and “speak to power” levels, where the former primarily spoke to two facets of the risk communication process – rapidness and attentiveness, and the latter was benchmarked against popularity and commitment. The framework was empirically validated with data relating to coronavirus disease (COVID-19) risk communication in 25,024 selected posts on 17 official provincial Weibo accounts in China. Findings: The analysis results suggest the relationship between the “speak from power” and “speak to power” is mixed rather than causality, which confirms that neither the outcome-centric nor the process-centric method alone can render a full picture of government–public interconnectivity. Besides, the proposed interconnectivity matrix reveals that two provinces have evidenced the formation of government–public mutuality, which provides empirical evidence that dialogic relationships could exist in social media during risk communication. Originality/value: The authors' study proposed a prototype framework that underlines the need that the impact of social media on risk communication should and must be assessed through a combination of process and outcome or interconnectivity. The authors further divide the impact of social media on risk communication into dialogue enabler, “speak from power” booster, “speak to power” channel and mass media alternative. © 2021, Emerald Publishing Limited.

KW - COVID-19

KW - Dialogic theory

KW - Risk communication

KW - Social media

U2 - 10.1108/ITP-05-2021-0363

DO - 10.1108/ITP-05-2021-0363

M3 - Journal article

VL - 35

SP - 2518

EP - 2540

JO - Information Technology and People

JF - Information Technology and People

SN - 0959-3845

IS - 7

ER -