Abstract

While data 1 has shown that COVID-19 disproportionately affects Black people, the CDC’s early data listed race as “missing/unspecified” at high rates. Incomplete demographic data obscures the virus’s full impact on marginalized communities. Without more information about who the virus is affecting and how, we cannot protect our most vulnerable. This article demonstrates disconnects between reported datasets and data visualizations in public-facing COVID health and science communication and suggests steps that technical and professional communicators can take in creating or using data visualizations accurately and ethically to describe COVID conditions and impacts.

Journal
Journal of Business and Technical Communication
Published
2021-01-01
DOI
10.1177/1050651920957982
Open Access
OA PDF Bronze
Topics

Citation Context

Cited by in this index (5)

  1. Technical Communication Quarterly
  2. Technical Communication Quarterly
  3. Journal of Business and Technical Communication
  4. Technical Communication Quarterly
  5. Journal of Business and Technical Communication

Cites in this index (2)

  1. Technical Communication Quarterly
  2. Journal of Business and Technical Communication
Also cites 4 works outside this index ↓
  1. Garg S., Kim L., Whitaker M., O’Halloran A., Cummings C., Holstein R., Prill M., Chai S. J., Kirley P. D., Al…
  2. 10.7551/mitpress/9302.001.0001
  3. 10.7551/mitpress/11543.001.0001
  4. Melonçon L., Warner E. (2017). Data visualizations: A literature review and opportunities for technical and p…
CrossRef global citation count: 24 View in citation network →