Kevin Van Winkle

2 articles
Colorado State University Pueblo ORCID: 0000-0002-6389-5249

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Kevin Van Winkle's work travels primarily in Technical Communication (100% of indexed citations) · 1 indexed citations.

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  • Technical Communication — 1

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  1. Between the Lines: Visual Euphemism in Technical and Professional Communication Visuals
    Abstract

    This article explores visual euphemism in the realm of technical and professional communication (TPC) visuals. I argue that euphemism is a mostly unexplored topic in TPC scholarship and deserving of further inquiry. Due to its equal capacity to inform or deceive, visual euphemism has particular value for scholars concerned with the efficacy and ethicality of TPC visuals. To support this argument, I identify the unique features of visual euphemism, as well as outline a basic critical framework for its identification and analysis. I conclude by briefly examining prominent TPC visuals and advocating for further research of visual euphemism.

    doi:10.1145/3658438.3658439
  2. Above All Made by Themselves: The Visual Rhetoric of W. E. B. Du Bois’s Data Visualizations
    Abstract

    In this article, I examine and contextualize a selection of award-winning data visualizations created by W. E. B. Du Bois and his team for the 1900 World’s Fair in Paris, France. I show that Du Bois’s success with these data visualizations is partially attributable to the ways in which he merged artistic creativity with statistical empiricism to overcome the practical and ideological constraints of his rhetorical situation, namely a need to be seen amongst the fair’s larger spectacle and a refutation of the “scientific” racism that pervaded academia at the time. The research presented confirms Du Bois as an important but previously unrecognized progenitor of data visualization and therefore deserving of much more recognition in the fields of technical and professional communication (TPC) and data visualization than he currently receives. Ultimately, I argue that his achievement recommends useful lessons for contemporary scholars, practitioners, and pedagogues of TPC and data design.

    doi:10.1080/10572252.2021.1906450