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Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes

Dialogic communication has long been viewed as vital for effective organization-public relations. Yet, it is under-theorized whether and how organizations’ disaster communication messages may embody dialogic communication principles, and how various dialogic features are associated with different pu...

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Detalles Bibliográficos
Autores principales: Liu, Wenlin, Xu, Weiai (Wayne), Tsai, Jiun-Yi (Jenny)
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JAI Press [etc.] 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367014/
https://www.ncbi.nlm.nih.gov/pubmed/32834427
http://dx.doi.org/10.1016/j.pubrev.2020.101949
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author Liu, Wenlin
Xu, Weiai (Wayne)
Tsai, Jiun-Yi (Jenny)
author_facet Liu, Wenlin
Xu, Weiai (Wayne)
Tsai, Jiun-Yi (Jenny)
author_sort Liu, Wenlin
collection PubMed
description Dialogic communication has long been viewed as vital for effective organization-public relations. Yet, it is under-theorized whether and how organizations’ disaster communication messages may embody dialogic communication principles, and how various dialogic features are associated with different public engagement outcomes on social media. Extending the Organization-Public Dialogic Communication (OPDC) framework to the context of social media-mediated disaster communication, we propose a multi-level framework to assess the dialogic capacity of Facebook messages sent by disaster management organizations during a natural disaster. Three levels of dialogic communication characteristics (i.e., message structure-level, topic-level, and linguistic level) are examined using content analysis and Linguistic Inquiry and Word Count (LIWC). Results identified media richness, correcting, and confirming topics as three consistent predictors of public engagement of all types. Meanwhile, there exhibit greater variations regarding how other topical features and linguistic characteristics are related to public’s cognitive, emotional, and behavioral engagement during a disaster.
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spelling pubmed-73670142020-07-20 Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes Liu, Wenlin Xu, Weiai (Wayne) Tsai, Jiun-Yi (Jenny) Public Relat Rev Full Length Article Dialogic communication has long been viewed as vital for effective organization-public relations. Yet, it is under-theorized whether and how organizations’ disaster communication messages may embody dialogic communication principles, and how various dialogic features are associated with different public engagement outcomes on social media. Extending the Organization-Public Dialogic Communication (OPDC) framework to the context of social media-mediated disaster communication, we propose a multi-level framework to assess the dialogic capacity of Facebook messages sent by disaster management organizations during a natural disaster. Three levels of dialogic communication characteristics (i.e., message structure-level, topic-level, and linguistic level) are examined using content analysis and Linguistic Inquiry and Word Count (LIWC). Results identified media richness, correcting, and confirming topics as three consistent predictors of public engagement of all types. Meanwhile, there exhibit greater variations regarding how other topical features and linguistic characteristics are related to public’s cognitive, emotional, and behavioral engagement during a disaster. JAI Press [etc.] 2020-11 2020-07-17 /pmc/articles/PMC7367014/ /pubmed/32834427 http://dx.doi.org/10.1016/j.pubrev.2020.101949 Text en Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Full Length Article
Liu, Wenlin
Xu, Weiai (Wayne)
Tsai, Jiun-Yi (Jenny)
Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes
title Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes
title_full Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes
title_fullStr Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes
title_full_unstemmed Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes
title_short Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes
title_sort developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes
topic Full Length Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367014/
https://www.ncbi.nlm.nih.gov/pubmed/32834427
http://dx.doi.org/10.1016/j.pubrev.2020.101949
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