research-article

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Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking

Authors:

Nutchanon Yongsatianchot,

Joseph D Gaggiano,

Shivani A Patel,

Stacy Marsella,

Jacqueline Griffin,

Andrea G ParkerAuthors Info & Claims

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Article No.: 78, Pages 1 - 21

https://doi.org/10.1145/3491102.3501889

Published: 28 April 2022 Publication History

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Abstract

During crises like COVID-19, individuals are inundated with conflicting and time-sensitive information that drives a need for rapid assessment of the trustworthiness and reliability of information sources and platforms. This parallels evolutions in information infrastructures, ranging from social media to government data platforms. Distinct from current literature, which presumes a static relationship between the presence or absence of trust and people’s behaviors, our mixed-methods research focuses on situated trust, or trust that is shaped by people’s information-seeking and assessment practices through emerging information platforms (e.g., social media, crowdsourced systems, COVID data platforms). Our findings characterize the shifts in trustee (what/who people trust) from information on social media to the social media platform(s), how distrust manifests skepticism in issues of data discrepancy, the insufficient presentation of uncertainty, and how this trust and distrust shift over time. We highlight the deep challenges in existing information infrastructures that influence trust and distrust formation.

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Cited By

Sillence EBranley-Bell DMoss MBriggs P(2024)A model of trust in online COVID-19 information and advice: cross sectional questionnaire study (Preprint)JMIR Infodemiology10.2196/59317Online publication date: 9-Apr-2024
https://doi.org/10.2196/59317
Kang EJu HKim SChoi J(2024)Contents analysis of thyroid cancer-related information uploaded to YouTube by physicians in Korea: endorsing thyroid cancer screening, potentially leading to overdiagnosisBMC Public Health10.1186/s12889-024-18403-224:1Online publication date: 2-Apr-2024
https://doi.org/10.1186/s12889-024-18403-2
Efstratiou AEfstratiou MYudhoatmojo SBlackburn JDe Cristofaro E(2024)"Here's Your Evidence": False Consensus in Public Twitter Discussions of COVID-19 ScienceProceedings of the ACM on Human-Computer Interaction10.1145/36870108:CSCW2(1-33)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687010
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Index Terms

Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Conferences

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

April 2022

10459 pages

ISBN:9781450391573

DOI:10.1145/3491102

Editors:
Simone Barbosa
PUC-Rio, Brazil
,
Cliff Lampe
University of Michigan, USA
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Caroline Appert
Université Paris-Saclay, France
,
David A. Shamma
Toyota Research Institute, USA
,
Steven Drucker
Microsoft Research, USA
,
Julie Williamson
University of Glasgow, UK
,
Koji Yatani
University of Tokyo, Japan

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Cited By

Sillence EBranley-Bell DMoss MBriggs P(2024)A model of trust in online COVID-19 information and advice: cross sectional questionnaire study (Preprint)JMIR Infodemiology10.2196/59317Online publication date: 9-Apr-2024
https://doi.org/10.2196/59317
Kang EJu HKim SChoi J(2024)Contents analysis of thyroid cancer-related information uploaded to YouTube by physicians in Korea: endorsing thyroid cancer screening, potentially leading to overdiagnosisBMC Public Health10.1186/s12889-024-18403-224:1Online publication date: 2-Apr-2024
https://doi.org/10.1186/s12889-024-18403-2
Efstratiou AEfstratiou MYudhoatmojo SBlackburn JDe Cristofaro E(2024)"Here's Your Evidence": False Consensus in Public Twitter Discussions of COVID-19 ScienceProceedings of the ACM on Human-Computer Interaction10.1145/36870108:CSCW2(1-33)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687010
Cheng RWang RZimmermann TFord D(2024)“It would work for me too”: How Online Communities Shape Software Developers’ Trust in AI-Powered Code Generation ToolsACM Transactions on Interactive Intelligent Systems10.1145/365199014:2(1-39)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3651990
Capel TPloderer BBircanin FHanmer SYates JWang JKhor KLeong TWadley GNewcomb M(2024)Studying Self-Care with Generative AI Tools: Lessons for DesignProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661614(1620-1637)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661614
Chen APark CDarkwa AHolliday RBest M(2024)"We're Not in That Circle of Misinformation": Understanding Community-Based Trusted Messengers Through Cultural Code-SwitchingProceedings of the ACM on Human-Computer Interaction10.1145/36374298:CSCW1(1-36)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637429
Wang RCheng RFord DZimmermann T(2024)Investigating and Designing for Trust in AI-powered Code Generation ToolsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658984(1475-1493)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3630106.3658984
Zhang YWang YYongsatianchot NGaggiano JSuhaimi NOkrah AKim MGriffin JParker A(2024)Profiling the Dynamics of Trust & Distrust in Social Media: A Survey StudyProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642927(1-24)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642927
Golding JChmura H(2024)Lessons for conservation from the mistakes of the COVID‐19 pandemic: The promise and peril of big data and new communication modalitiesConservation Science and Practice10.1111/csp2.130906:3Online publication date: 28-Feb-2024
https://doi.org/10.1111/csp2.13090
Shrestha ABehfar AAl-Ameen M(2024) “It is Luring You to Click on the Link With False Advertising” - Mental Models of Clickbait and Its Impact on User’s Perceptions and Behavior Towards Clickbait Warnings International Journal of Human–Computer Interaction10.1080/10447318.2024.2323248(1-19)Online publication date: 8-Mar-2024
https://doi.org/10.1080/10447318.2024.2323248
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