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Cited by 605

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

How Audiences Seek Out Crisis Information: Exploring the Social-Mediated Crisis Communication Model

Austin, Lucinda, Fisher Liu, Brooke, Jin, Yan·2012·Journal of Applied Communication Research

Abstract

This study explores how audiences seek information from social and traditional media, and what factors affect media use during crises. Using the social-mediated crisis communication (SMCC) model, an examination of crisis information and sources reveals that audiences use social media during crises for insider information and checking in with family/friends and use traditional media for educational purposes. Convenience, involvement, and personal recommendations encourage social and traditional media use; information overload discourages use of both. Humor and attitudes about the purpose of social media discourage use of social media, while credibility encourages traditional media use. Practically, findings stressed the importance of third-party influence in crisis communication and the need for using both traditional and social media in crisis response.

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Crossref · 10.1080/00909882.2012.654498

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Metadata

Authors
Austin, L., Fisher Liu, B., & Jin, Y.
Venue
Journal of Applied Communication Research
Published
2012-02-09
Volume
40
Issue
2
Pages
188-207
ISSN
  • 0090-9882 (ISSN-L)
  • 1479-5752
OpenAlex
W1963658303
Cited by
605
References
2
FWCI
55.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How Audiences Seek Out Crisis Information: Exploring the Social-Mediated Crisis Communication Model. https://app.cochat.ai/papers/10.1080/00909882.2012.654498
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Austin, L., Fisher Liu, B., & Jin, Y. (2012). How Audiences Seek Out Crisis Information: Exploring the Social-Mediated Crisis Communication Model. Journal of Applied Communication Research. https://doi.org/10.1080/00909882.2012.654498

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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.