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Managing Uncertainty: Using Social Media for Risk Assessment during a Public Health Crisis

Authors:

Kathleen H. Pine,

Yunan ChenAuthors Info & Claims

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Pages 4520 - 4533

https://doi.org/10.1145/3025453.3025891

Published: 02 May 2017 Publication History

Abstract

Recently, diseases like H1N1 influenza, Ebola, and Zika virus have created severe crises, requiring public resources and personal behavior adaptation. Crisis Informatics literature examines interconnections of people, organizations, and IT during crisis events. However, how people use technology to cope with disease crises (outbreaks, epidemics, and pandemics) remains understudied. We investigate how individuals used social media in response to the outbreak of Zika, focusing on travel-related decisions. We found that extreme uncertainty and ambiguity characterized the Zika virus crisis. To cope, people turned to social media for information gathering and social learning geared towards personal risk assessment and modifying decisions when dealing with partial and conflicting information about Zika. In particular, individuals sought local information and used socially informed logical reasoning to deduce the risk at a specific locale. We conclude with implications for designing information systems to support individual risk assessment and decision-making when faced with uncertainty and ambiguity during public health crises.

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Index Terms

Managing Uncertainty: Using Social Media for Risk Assessment during a Public Health Crisis
1. Human-centered computing

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cover image ACM Conferences

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

May 2017

7138 pages

ISBN:9781450346559

DOI:10.1145/3025453

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
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Program Chairs:
Cliff Lampe
University of Michigan
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m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
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Daniel Wigdor
University of Toronto

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Published: 02 May 2017

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CHI '17 Paper Acceptance Rate 600 of 2,400 submissions, 25%;

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https://doi.org/10.3280/mesa2023-125oa16833
He CHe LYang WLi B(2024)Images Connect Us Together: Navigating a COVID-19 Local Outbreak in China Through Social Media ImagesProceedings of the ACM on Human-Computer Interaction10.1145/36373498:CSCW1(1-32)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637349
Wani A(2024)Use of ICTs during ongoing protracted socio-political disruptionsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3638194(1-6)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3638194
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