Communicating shared situational awareness in times of chaos: Social media and the COVID‐19 pandemic.
Published In: Journal of the Association for Information Science & Technology, 2023, v. 74, n. 10. P. 1185 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Shahbazi, Maryam; Bunker, Deborah; Sorrell, Tania C. 3 of 3
Abstract
To effectively manage a crisis, most decisions made by governments, organizations, communities, and individuals are based on "shared situational awareness" (SSA) derived from multiple information sources. Developing SSA depends on the alignment of mental models, which "represent our shared version of truth and reality on which we can act." Social media has facilitated public sensemaking during a crisis; however, it has also encouraged mental model dissonance, resulting in the digital destruction of mental models and undermining adequate SSA. The study is concerned with the challenges of creating SSA during the COVID‐19 pandemic in Australia. This paper documents a netnography of Australian public health agencies' Facebook communication, exploring the initial impact of COVID‐19 on SSA creation. Chaos theory is used as a theoretical lens to examine information perception, meaning, and assumptions relating to SSA from pre to post‐pandemic periods. Our study highlights how the initial COVID‐19 "butterfly effect" swamped the public health communication channel, leaving little space for other important health issues. This research contributes to information systems, information science, and communications by illustrating how the emergence of a crisis impacts social media communication, the creation of SSA, and what this means for social media adoption for crisis communication purposes. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of the Association for Information Science & Technology. 2023/10, Vol. 74, Issue 10, p1185
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:2330-1635
- DOI:10.1002/asi.24814
- Accession Number:171811390
- Copyright Statement:Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.