Shifting Trust: Examining How Trust and Distrust Emerge, Transform, and Collapse in COVID-19 Information Seeking
Yixuan Zhang, Nurul Suhaimi, Nutchanon Yongsatianchot, Joseph D. Gaggiano, Miso Kim, Shivani A. Patel, Yifan Sun, Stacy Marsella, Jacqueline A. Griffin, Andrea G. Parker
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.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get f0d88849-37bb-43f6-85de-8d1c8c88333cCited by top-tier papers13
- Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human SolutionsJiawei Zhou, Yixuan Zhang, Qianni Luo, Andrea G. Parker et al.CHI 2023 · 283 citations
- Practicing Information Sensibility: How Gen Z Engages with Online InformationAmelia Hassoun, Ian Beacock, Sunny Consolvo, Beth Goldberg et al.CHI 2023 · 61 citations
- Taking a Language Detour: How International Migrants Speaking a Minority Language Seek COVID-Related Information in Their Host CountriesGe Gao, Jian Zheng, Eun Kyoung Choe, Naomi YamashitaCSCW 2022 · 37 citations
- Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard CreatorsYixuan Zhang, Yifan Sun, Joseph D. Gaggiano, Neha Kumar et al.IEEE VIS 2022 · 33 citations
- Vistrust: a Multidimensional Framework and Empirical Study of Trust in Data VisualizationsHamza Elhamdadi, Adam Stefkovics, Johanna Beyer, Eric Mörth et al.IEEE VIS 2023 · 29 citations
Related papers
- Making Sense of Risk Information amidst Uncertainty: Individuals' Perceived Risks Associated with the COVID-19 PandemicKathleen H. Pine, Myeong Lee, Samantha A. Whitman, Yunan Chen et al.CHI 2021 · 42 citations
- "Yeah, this graph doesn't show that": Analysis of Online Engagement with Misleading Data VisualizationsMaxim Lisnic, Alexander Lex, Marina KoganCHI 2024 · 16 citations
- Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science OnlineCrystal Lee, Tanya Yang, Gabrielle D. Inchoco, Graham M. Jones et al.CHI 2021 · 140 citations
- Trustworthiness Perceptions of Social Media Resources Named after a Crisis EventApoorva Chauhan, Amanda Lee HughesCSCW 2020 · 13 citations
- Who's in the Crowd Matters: Cognitive Factors and Beliefs Predict Misinformation Assessment AccuracyRobert A. Kaufman, Michael Robert Haupt, Steven P. DowCSCW 2022 · 27 citations
