Oops? Interdisciplinary Stories of Sociotechnical Error| Affective Experiences of Error

This article uncovers a case of sociotechnical error in the production of COVID dashboards. Our broader study included interviews with 79 people who participated in developing and maintaining COVID dashboard projects in the United States and India during the first 18 months of the pandemic—workers we call COVID “data builders.” We report on a subset of our interview data, focusing on participants’ affective experiences of error involving two U.S.-based dashboards. The case examines how data builders created an error in COVID data early in the pandemic. The error, a typo in the data, was propagated through various COVID data infrastructures and led data builders to question their place in the COVID data ecosystem as they interpreted how data was being harvested, accessed, reused, and repurposed and how their work was valued in the mainstream media. We show how the data builders’ affective experience of the mistake, and its propagation emerged from ongoing encounters with racism and pandemic vulnerability and led to feelings of jealousy and anger in their data labor.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

Oops? Interdisciplinary Stories of Sociotechnical Error| Affective Experiences of Error

SHILAP Revista de lepidopterología
Ethics and Social Impacts of AI
article

Oops? Interdisciplinary Stories of Sociotechnical Error| Affective Experiences of Error

article en

Abstract

This article uncovers a case of sociotechnical error in the production of COVID dashboards. Our broader study included interviews with 79 people who participated in developing and maintaining COVID dashboard projects in the United States and India during the first 18 months of the pandemic—workers we call COVID “data builders.” We report on a subset of our interview data, focusing on participants’ affective experiences of error involving two U.S.-based dashboards. The case examines how data builders created an error in COVID data early in the pandemic. The error, a typo in the data, was propagated through various COVID data infrastructures and led data builders to question their place in the COVID data ecosystem as they interpreted how data was being harvested, accessed, reused, and repurposed and how their work was valued in the mainstream media. We show how the data builders’ affective experience of the mistake, and its propagation emerged from ongoing encounters with racism and pandemic vulnerability and led to feelings of jealousy and anger in their data labor.

SHILAP Revista de lepidopterología
American University (US), University of Washington (US), Rutgers Sexual and Reproductive Health and Rights (NL), The University of Texas at Austin (US), Universidad del Noreste (MX), University of Amsterdam (NL)
Industry, innovation and infrastructure
Openalex Percentile: Top 42%
Ethics and Social Impacts of AI
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Oops? Interdisciplinary Stories of Sociotechnical Error| Affective Experiences of Error · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS