| Title: |
Data in the making, political struggle, and epistemic (in)justice: Asian and Asian Americans as early responders to the COVID-19 pandemic in the United States |
| Authors: |
Herrenkohl, Leslie Rupert; Lee, Jiyoung; Wang, Everet; Tasker, Tammy; Jones, Denise; Nkwuzor, Paola; Batalon, Christopher; Camacho, Francisco Parra; Siciliano, Peter; Davis, Elizabeth A; Barton, Angela Calabrese |
| Contributors: |
National Science Foundation |
| Source: |
New Media & Society ; volume 27, issue 6, page 3382-3407 ; ISSN 1461-4448 1461-7315 |
| Publisher Information: |
SAGE Publications |
| Publication Year: |
2024 |
| Description: |
The COVID-19 pandemic exposed the limits of big data to guide decision-making in times of crisis. As people navigated daily life, they were confronted with the reality that data were often not yet material but rather in-the-making. Drawing upon critical and feminist lenses and participatory methodologies, this study investigates the data stories of nine people of Asian descent living in the United States. Findings illustrate how participants navigated within and across time, space, activity, media, epistemology, race, and politics to produce lively data assemblages. These data stories guided social-distancing and mask-wearing weeks before official US policy even as participants lived in constant fear of dehumanizing racist and xenophobic violence. This study advances theorizing about data practices for human knowing and learning with media, racial and epistemic (in)justice, and community action. It also advances participatory research as a site of epistemic resistance and activism. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1177/14614448231226400 |
| Availability: |
https://doi.org/10.1177/14614448231226400; https://journals.sagepub.com/doi/pdf/10.1177/14614448231226400; https://journals.sagepub.com/doi/full-xml/10.1177/14614448231226400 |
| Rights: |
https://creativecommons.org/licenses/by-nc/4.0/ ; https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| Accession Number: |
edsbas.EEC58E1C |
| Database: |
BASE |