Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking
Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking
复制标题
信任的转变：审视信任和不信任在 COVID-19 信息搜索中如何出现、转变和崩溃
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Andrea G. Parker
中科院分区：
文献类型：
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作者：
Yixuan Zhang;Nurul M. Suhaimi;Nutchanon Yongsatianchot;Joseph D. Gaggiano;Miso Kim;Shivani A. Patel;Yifan Sun;S. Marsella;Jacqueline A. Griffin;Andrea G. Parker
在2019冠状病毒病等危机期间，个人被相互冲突且具有时效性的信息淹没，因此需要对信息来源和平台的可信度和可靠性进行快速评估。这与信息基础设施（从社交媒体到政府数据平台）的演变是同步的。与当前文献假设信任存在或缺失与人们行为之间存在静态关系不同，我们的混合方法研究侧重于情境信任，或通过新兴信息平台（例如，社交媒体，众包系统，COVID数据平台）由人们寻求信息和评估实践形成的信任。我们的研究结果描述了受托人（人们信任什么/谁）从社交媒体上的信息到社交媒体平台的转变，不信任如何在数据差异问题上表现出怀疑态度，不确定性的表现不足，以及这种信任和不信任如何随着时间的推移而变化。我们强调影响信任和不信任形成的现有信息基础设施的深层次挑战。
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.
影响因子：
7.2
作者：
Brashier NM;Schacter DL
通讯作者：
Schacter DL
绘制 COVID-19 危机可视化图景
DOI：
10.1145/3411764.3445381
发表时间：
2021
期刊：
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
影响因子：
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作者：
Zhang, Yixuan;Sun, Yifan;Padilla, Lace;Barua, Sumit;Bertini, Enrico;Parker, Andrea G
通讯作者：
Parker, Andrea G