Masking (Not Masking) Up: An STS Visual-Intersectional Approach to Understanding Publics and Science in Times of Rapid Change
Abstract
In this paper we argue that a visual-intersectional approach can advance the field of science and technology studies (STS). Although there is a small but important body of work using visual methods in STS, it has rarely incorporated intersectional approaches. We use visual imagery about mask wearing during the COVID-19 pandemic as a case study to illustrate the potential power of a visual-intersectional approach in STS. We chose masks for three reasons. First, debates about mask-wearing were rich with visual imagery, from home-made signs posted in homes and businesses to professionally designed and printed imagery circulated by public health agencies. Second, recommendations about face coverings outside of healthcare settings changed dramatically in the first 18 months of the COVID-19 pandemic, providing an opportunity to analyze how rapidly changing scientific recommendations were debated in the public sphere. Finally, as masks entered the public sphere, they quickly became evocative technologies, deeply imbued with cultural and political meanings. By focusing on signs about masks in the United States, we demonstrate how integrating visual methods of data collection and an intersectional, visual analytical lens can strengthen STS by developing deeper understandings of (a) publics and science in times of uncertainty, (b) public health as a distinct form of scientific expertise, and (c) the role of humor and place-specific messaging in science. We close with analytic priorities for future research on mask use that could advance STS theories of the collective construction of scientific knowledge and productively inform the development of public health interventions.
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