Fighting an infodemic: managing virtual communities during times of disaster.
Fighting an infodemic: managing virtual communities during times of disaster.
Natural disasters pose a significant societal challenge and impact our society at large. People now extensively use social media to create or appropriate existing virtual communities during a disaster. Virtual communities can provide useful information and help victims cope with disaster impacts. However, these self-same virtual communities can worsen a disaster victim’s situation because they can be used to spread falsehoods and irrelevant information, leading to an infodemic (i.e., an overabundance of accurate and inaccurate information). Furthermore, existing practices or policies for managing the community and disseminating information can easily become obsolete during a disaster. This thesis develops a better understating of how virtual communities can be managed to generate and disseminate trusted information when and where it is needed during disasters. Two natural disasters, Hurricane Harvey in 2017 and, The Great Texas Freeze Out 2021, were studied to better understand this subject. Using an interpretive case study approach, digital trace data from a Reddit disaster community were collected and analysed. The research findings are presented as three inter-linked papers. The first paper explores how to foster a sense of community that can help generate trusted information; the second paper explores how to disseminate trusted hyperlocal information, and the third paper explores how and why diversity hinders the spread of trusted information. Collectively, this thesis contributes to a relevant yet relatively underexplored area of research in Information Systems (IS). The thesis makes suggestions for how virtual community leaders, emergency authorities, and system designers can use a virtual community during a disaster.
Hasan, Mahmudul
84f09237-2031-4c24-aa7d-c9593482bd26
1 December 2022
Hasan, Mahmudul
84f09237-2031-4c24-aa7d-c9593482bd26
Myers, Michael
e85e3b9c-5367-45a7-9736-680215d797af
Chua, Cecil
fa729d68-af69-4da9-9ca3-5d251649743e
Hasan, Mahmudul
(2022)
Fighting an infodemic: managing virtual communities during times of disaster.
The University of Auckland, Doctoral Thesis, 163pp.
Record type:
Thesis
(Doctoral)
Abstract
Natural disasters pose a significant societal challenge and impact our society at large. People now extensively use social media to create or appropriate existing virtual communities during a disaster. Virtual communities can provide useful information and help victims cope with disaster impacts. However, these self-same virtual communities can worsen a disaster victim’s situation because they can be used to spread falsehoods and irrelevant information, leading to an infodemic (i.e., an overabundance of accurate and inaccurate information). Furthermore, existing practices or policies for managing the community and disseminating information can easily become obsolete during a disaster. This thesis develops a better understating of how virtual communities can be managed to generate and disseminate trusted information when and where it is needed during disasters. Two natural disasters, Hurricane Harvey in 2017 and, The Great Texas Freeze Out 2021, were studied to better understand this subject. Using an interpretive case study approach, digital trace data from a Reddit disaster community were collected and analysed. The research findings are presented as three inter-linked papers. The first paper explores how to foster a sense of community that can help generate trusted information; the second paper explores how to disseminate trusted hyperlocal information, and the third paper explores how and why diversity hinders the spread of trusted information. Collectively, this thesis contributes to a relevant yet relatively underexplored area of research in Information Systems (IS). The thesis makes suggestions for how virtual community leaders, emergency authorities, and system designers can use a virtual community during a disaster.
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Published date: 1 December 2022
Identifiers
Local EPrints ID: 478299
URI: http://eprints.soton.ac.uk/id/eprint/478299
PURE UUID: 0232cb2c-9837-42b4-adec-14bf9f462c0d
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Date deposited: 27 Jun 2023 17:25
Last modified: 17 Mar 2024 04:16
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Contributors
Author:
Mahmudul Hasan
Thesis advisor:
Michael Myers
Thesis advisor:
Cecil Chua
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